tweaks
This commit is contained in:
Steven G. Johnson committed
1 parent
1245519751
commit
878e531fdd
1 file changed
+85
-73
@@ -54,7 +54,7 @@
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"$$\n",
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"f(x) = \\frac{1}{m} \\sum_{i=1}^m f_i(x) \\longrightarrow_{m \\to \\infty} E[f_i(x)]\\, .\n",
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"$$\n",
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"where the different functions $f_i(x)$ correspond to **samples** from a **training set** of $m \\gg 1$ data points. In the limit $m \\to \\infty$, this corresponds to minimizing the **expected value**.\n",
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"where the different functions $f_i(x)$ correspond to **samples** from a **training set** of $m \\gg 1$ data points. In the limit $m \\to \\infty$, this corresponds to minimizing the **expected value**. (For example, if training examples are drawn randomly from some distribution (for [unsupervised learning](https://en.wikipedia.org/wiki/Unsupervised_learning)), you effectively have an infinite training set.)\n",
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"\n",
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"The most familiar example is probably **least-square fitting**, $f_i(x)$ is the squared difference between a model and a training data point $(\\text{input}_i, \\text{output}_i)$:\n",
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"$$\n",
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@@ -64,7 +64,7 @@
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"$$\n",
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"f_i(x) = -\\log L(\\text{output}_i | \\text{model}(x, \\text{input}_i))\n",
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"$$\n",
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"and there are many other examples of this form.\n",
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"(where $L$ is a likelihood function in some statistical model, e.g. corresponding to [cross-entropy loss](https://en.wikipedia.org/wiki/Cross_entropy) in [classification problems](https://towardsdatascience.com/cross-entropy-for-classification-d98e7f974451)). There are many other examples of this $f = \\sum_i f_i$ form.\n",
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"\n",
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"Gradient descent and related algorithms update the parameters $x$ using the gradient $\\nabla f$ evaluated at the current point (or possibly a linear combination of gradients at different points), but evaluating the gradient exactly might be very expensive if $m$ is large. However, by linearity, what we are computing is\n",
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"$$\n",
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@@ -105,8 +105,8 @@
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"data": {
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"text/plain": [
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"2-element Vector{Float64}:\n",
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" 0.9810159499575486\n",
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" 2.0106501768678204"
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" 1.041613576351668\n",
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" 2.01074076723373"
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]
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},
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"execution_count": 2,
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@@ -130,7 +130,7 @@
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"outputs": [
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{
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"data": {
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"image/png": 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truncated
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"image/png": 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"text/plain": [
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"Figure(PyObject <Figure size 640x480 with 1 Axes>)"
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]
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@@ -141,7 +141,7 @@
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{
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"data": {
|
||||
"text/plain": [
|
||||
"PyObject <matplotlib.legend.Legend object at 0x16e5a6370>"
|
||||
"PyObject <matplotlib.legend.Legend object at 0x292f55370>"
|
||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
@@ -186,7 +186,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"L = (2 / m) * maximum(eigvals(A' * A)) = 2.123906669309509\n"
|
||||
"L = (2 / m) * maximum(eigvals(A' * A)) = 2.0438346691301557\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -311,7 +311,7 @@
|
||||
"(function (val){return (val!=this.model[\"index\"]()) ? (this.valueFromJulia[\"index\"]=true, this.model[\"index\"](val)) : undefined})"
|
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|
||||
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"id": "8132048262554526504",
|
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"id": "8040872608220666544",
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||||
"imports": {
|
||||
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|
||||
{
|
||||
@@ -343,16 +343,16 @@
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||||
"type": "async_block"
|
||||
},
|
||||
"mount_callbacks": [
|
||||
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|
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"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"0.05\",\"0.1\",\"0.15\",\"0.2\",\"0.25\",\"0.3\",\"0.35\",\"0.4\",\"0.45\",\"0.5\",\"0.55\",\"0.6\",\"0.65\",\"0.7\",\"0.75\",\"0.8\",\"0.85\",\"0.9\",\"0.95\",\"1.0\",\"1.05\",\"1.1\",\"1.15\",\"1.2\",\"1.25\",\"1.3\",\"1.35\",\"1.4\",\"1.45\",\"1.5\",\"1.55\",\"1.6\",\"1.65\",\"1.7\",\"1.75\",\"1.8\",\"1.85\",\"1.9\",\"1.95\",\"2.0\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"8040872608220666544\",\"id\":\"2133732476027264091\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"8040872608220666544\",\"id\":\"5037898709452317128\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(1)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"8040872608220666544\",\"id\":\"2133732476027264091\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"8040872608220666544\",\"id\":\"5037898709452317128\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
],
|
||||
"observables": {
|
||||
"changes": {
|
||||
"id": "9148820159079828842",
|
||||
"id": "2133732476027264091",
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"sync": false,
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"value": 0
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},
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"index": {
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"id": "1804693577850608861",
|
||||
"id": "5037898709452317128",
|
||||
"sync": true,
|
||||
"value": 6
|
||||
}
|
||||
@@ -492,7 +492,7 @@
|
||||
"(function (val){return (val!=this.model[\"index\"]()) ? (this.valueFromJulia[\"index\"]=true, this.model[\"index\"](val)) : undefined})"
|
||||
]
|
||||
},
|
||||
"id": "6683673753748397190",
|
||||
"id": "16982613614943101290",
|
||||
"imports": {
|
||||
"data": [
|
||||
{
|
||||
@@ -524,16 +524,16 @@
|
||||
"type": "async_block"
|
||||
},
|
||||
"mount_callbacks": [
|
||||
"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\",\"26\",\"27\",\"28\",\"29\",\"30\",\"31\",\"32\",\"33\",\"34\",\"35\",\"36\",\"37\",\"38\",\"39\",\"40\",\"41\",\"42\",\"43\",\"44\",\"45\",\"46\",\"47\",\"48\",\"49\",\"50\",\"51\",\"52\",\"53\",\"54\",\"55\",\"56\",\"57\",\"58\",\"59\",\"60\",\"61\",\"62\",\"63\",\"64\",\"65\",\"66\",\"67\",\"68\",\"69\",\"70\",\"71\",\"72\",\"73\",\"74\",\"75\",\"76\",\"77\",\"78\",\"79\",\"80\",\"81\",\"82\",\"83\",\"84\",\"85\",\"86\",\"87\",\"88\",\"89\",\"90\",\"91\",\"92\",\"93\",\"94\",\"95\",\"96\",\"97\",\"98\",\"99\",\"100\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"6683673753748397190\",\"id\":\"5906031181686172777\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"6683673753748397190\",\"id\":\"14579589570514796680\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(10)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"6683673753748397190\",\"id\":\"5906031181686172777\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"6683673753748397190\",\"id\":\"14579589570514796680\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\",\"26\",\"27\",\"28\",\"29\",\"30\",\"31\",\"32\",\"33\",\"34\",\"35\",\"36\",\"37\",\"38\",\"39\",\"40\",\"41\",\"42\",\"43\",\"44\",\"45\",\"46\",\"47\",\"48\",\"49\",\"50\",\"51\",\"52\",\"53\",\"54\",\"55\",\"56\",\"57\",\"58\",\"59\",\"60\",\"61\",\"62\",\"63\",\"64\",\"65\",\"66\",\"67\",\"68\",\"69\",\"70\",\"71\",\"72\",\"73\",\"74\",\"75\",\"76\",\"77\",\"78\",\"79\",\"80\",\"81\",\"82\",\"83\",\"84\",\"85\",\"86\",\"87\",\"88\",\"89\",\"90\",\"91\",\"92\",\"93\",\"94\",\"95\",\"96\",\"97\",\"98\",\"99\",\"100\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"16982613614943101290\",\"id\":\"10555529040878136903\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"16982613614943101290\",\"id\":\"15148483394806438155\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(10)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"16982613614943101290\",\"id\":\"10555529040878136903\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"16982613614943101290\",\"id\":\"15148483394806438155\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
],
|
||||
"observables": {
|
||||
"changes": {
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||||
"id": "5906031181686172777",
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||||
"id": "10555529040878136903",
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||||
"sync": false,
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"value": 0
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"index": {
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"id": "14579589570514796680",
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"id": "15148483394806438155",
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||||
"sync": true,
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||||
"value": 20
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}
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||||
@@ -560,7 +560,7 @@
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||||
{
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||||
"children": [],
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||||
"instanceArgs": {
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||||
"id": "14593175664440022714",
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"id": "1410698570604898872",
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||||
"name": "obs-node"
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||||
},
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||||
"nodeType": "ObservableNode",
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||||
@@ -570,7 +570,7 @@
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||||
],
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||||
"instanceArgs": {
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"handlers": {},
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||||
"id": "11014204293637877523",
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"id": "17351532953436435464",
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||||
"imports": {
|
||||
"data": [],
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||||
"type": "async_block"
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||||
@@ -578,7 +578,7 @@
|
||||
"mount_callbacks": [],
|
||||
"observables": {
|
||||
"obs-node": {
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||||
"id": "14593175664440022714",
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||||
"id": "1410698570604898872",
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||||
"sync": false,
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||||
"value": {
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"children": [
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@@ -590,7 +590,7 @@
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||||
},
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||||
"nodeType": "DOM",
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||||
"props": {
|
||||
"setInnerHtml": "<img src='data:image/png;base64,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 truncated
|
||||
"setInnerHtml": "<img src='data:image/png;base64,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 truncated
|
||||
},
|
||||
"type": "node"
|
||||
}
|
||||
@@ -625,7 +625,7 @@
|
||||
"text/html": [
|
||||
"<div\n",
|
||||
" class=\"webio-mountpoint\"\n",
|
||||
" data-webio-mountpoint=\"14542225289874038678\"\n",
|
||||
" data-webio-mountpoint=\"9683197827310050155\"\n",
|
||||
">\n",
|
||||
" <script>\n",
|
||||
" (function(){\n",
|
||||
@@ -635,7 +635,7 @@
|
||||
" // correctly.\n",
|
||||
" if (typeof window.WebIO === \"undefined\") {\n",
|
||||
" document\n",
|
||||
" .querySelector('[data-webio-mountpoint=\"14542225289874038678\"]')\n",
|
||||
" .querySelector('[data-webio-mountpoint=\"9683197827310050155\"]')\n",
|
||||
" .innerHTML = (\n",
|
||||
" '<div style=\"padding: 1em; background-color: #f8d6da; border: 1px solid #f5c6cb; font-weight: bold;\">' +\n",
|
||||
" '<p><strong>WebIO not detected.</strong></p>' +\n",
|
||||
@@ -648,8 +648,8 @@
|
||||
" return;\n",
|
||||
" }\n",
|
||||
" WebIO.mount(\n",
|
||||
" document.querySelector('[data-webio-mountpoint=\"14542225289874038678\"]'),\n",
|
||||
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|
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" window,\n",
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" );\n",
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" })()\n",
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@@ -657,7 +657,7 @@
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"</div>\n"
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|
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]
|
||||
},
|
||||
"execution_count": 4,
|
||||
@@ -858,7 +858,7 @@
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"(function (val){return (val!=this.model[\"index\"]()) ? (this.valueFromJulia[\"index\"]=true, this.model[\"index\"](val)) : undefined})"
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"id": "6906506743862292087",
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"id": "2381704392959859621",
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"imports": {
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"data": [
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{
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@@ -890,16 +890,16 @@
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"type": "async_block"
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},
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"mount_callbacks": [
|
||||
"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"0.01\",\"0.02\",\"0.03\",\"0.04\",\"0.05\",\"0.06\",\"0.07\",\"0.08\",\"0.09\",\"0.1\",\"0.11\",\"0.12\",\"0.13\",\"0.14\",\"0.15\",\"0.16\",\"0.17\",\"0.18\",\"0.19\",\"0.2\",\"0.21\",\"0.22\",\"0.23\",\"0.24\",\"0.25\",\"0.26\",\"0.27\",\"0.28\",\"0.29\",\"0.3\",\"0.31\",\"0.32\",\"0.33\",\"0.34\",\"0.35\",\"0.36\",\"0.37\",\"0.38\",\"0.39\",\"0.4\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"6906506743862292087\",\"id\":\"6228103310409081339\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"6906506743862292087\",\"id\":\"7099087240667531253\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(1)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"6906506743862292087\",\"id\":\"6228103310409081339\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"6906506743862292087\",\"id\":\"7099087240667531253\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"0.01\",\"0.02\",\"0.03\",\"0.04\",\"0.05\",\"0.06\",\"0.07\",\"0.08\",\"0.09\",\"0.1\",\"0.11\",\"0.12\",\"0.13\",\"0.14\",\"0.15\",\"0.16\",\"0.17\",\"0.18\",\"0.19\",\"0.2\",\"0.21\",\"0.22\",\"0.23\",\"0.24\",\"0.25\",\"0.26\",\"0.27\",\"0.28\",\"0.29\",\"0.3\",\"0.31\",\"0.32\",\"0.33\",\"0.34\",\"0.35\",\"0.36\",\"0.37\",\"0.38\",\"0.39\",\"0.4\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"2381704392959859621\",\"id\":\"13550479041357982695\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"2381704392959859621\",\"id\":\"2067873745985328970\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(1)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"2381704392959859621\",\"id\":\"13550479041357982695\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"2381704392959859621\",\"id\":\"2067873745985328970\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
],
|
||||
"observables": {
|
||||
"changes": {
|
||||
"id": "6228103310409081339",
|
||||
"id": "13550479041357982695",
|
||||
"sync": false,
|
||||
"value": 0
|
||||
},
|
||||
"index": {
|
||||
"id": "7099087240667531253",
|
||||
"id": "2067873745985328970",
|
||||
"sync": true,
|
||||
"value": 20
|
||||
}
|
||||
@@ -1039,7 +1039,7 @@
|
||||
"(function (val){return (val!=this.model[\"index\"]()) ? (this.valueFromJulia[\"index\"]=true, this.model[\"index\"](val)) : undefined})"
|
||||
]
|
||||
},
|
||||
"id": "6875772947855299800",
|
||||
"id": "8636771319818047337",
|
||||
"imports": {
|
||||
"data": [
|
||||
{
|
||||
@@ -1071,16 +1071,16 @@
|
||||
"type": "async_block"
|
||||
},
|
||||
"mount_callbacks": [
|
||||
"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\",\"26\",\"27\",\"28\",\"29\",\"30\",\"31\",\"32\",\"33\",\"34\",\"35\",\"36\",\"37\",\"38\",\"39\",\"40\",\"41\",\"42\",\"43\",\"44\",\"45\",\"46\",\"47\",\"48\",\"49\",\"50\",\"51\",\"52\",\"53\",\"54\",\"55\",\"56\",\"57\",\"58\",\"59\",\"60\",\"61\",\"62\",\"63\",\"64\",\"65\",\"66\",\"67\",\"68\",\"69\",\"70\",\"71\",\"72\",\"73\",\"74\",\"75\",\"76\",\"77\",\"78\",\"79\",\"80\",\"81\",\"82\",\"83\",\"84\",\"85\",\"86\",\"87\",\"88\",\"89\",\"90\",\"91\",\"92\",\"93\",\"94\",\"95\",\"96\",\"97\",\"98\",\"99\",\"100\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"6875772947855299800\",\"id\":\"11519246493885411976\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"6875772947855299800\",\"id\":\"16981673555174426152\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(1)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"6875772947855299800\",\"id\":\"11519246493885411976\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"6875772947855299800\",\"id\":\"16981673555174426152\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\",\"26\",\"27\",\"28\",\"29\",\"30\",\"31\",\"32\",\"33\",\"34\",\"35\",\"36\",\"37\",\"38\",\"39\",\"40\",\"41\",\"42\",\"43\",\"44\",\"45\",\"46\",\"47\",\"48\",\"49\",\"50\",\"51\",\"52\",\"53\",\"54\",\"55\",\"56\",\"57\",\"58\",\"59\",\"60\",\"61\",\"62\",\"63\",\"64\",\"65\",\"66\",\"67\",\"68\",\"69\",\"70\",\"71\",\"72\",\"73\",\"74\",\"75\",\"76\",\"77\",\"78\",\"79\",\"80\",\"81\",\"82\",\"83\",\"84\",\"85\",\"86\",\"87\",\"88\",\"89\",\"90\",\"91\",\"92\",\"93\",\"94\",\"95\",\"96\",\"97\",\"98\",\"99\",\"100\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"8636771319818047337\",\"id\":\"3678303983132323971\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"8636771319818047337\",\"id\":\"7584779471709723007\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(1)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"8636771319818047337\",\"id\":\"3678303983132323971\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"8636771319818047337\",\"id\":\"7584779471709723007\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
],
|
||||
"observables": {
|
||||
"changes": {
|
||||
"id": "11519246493885411976",
|
||||
"id": "3678303983132323971",
|
||||
"sync": false,
|
||||
"value": 0
|
||||
},
|
||||
"index": {
|
||||
"id": "16981673555174426152",
|
||||
"id": "7584779471709723007",
|
||||
"sync": true,
|
||||
"value": 1
|
||||
}
|
||||
@@ -1220,7 +1220,7 @@
|
||||
"(function (val){return (val!=this.model[\"index\"]()) ? (this.valueFromJulia[\"index\"]=true, this.model[\"index\"](val)) : undefined})"
|
||||
]
|
||||
},
|
||||
"id": "17876961094725245024",
|
||||
"id": "5357783408800328542",
|
||||
"imports": {
|
||||
"data": [
|
||||
{
|
||||
@@ -1252,16 +1252,16 @@
|
||||
"type": "async_block"
|
||||
},
|
||||
"mount_callbacks": [
|
||||
"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\",\"26\",\"27\",\"28\",\"29\",\"30\",\"31\",\"32\",\"33\",\"34\",\"35\",\"36\",\"37\",\"38\",\"39\",\"40\",\"41\",\"42\",\"43\",\"44\",\"45\",\"46\",\"47\",\"48\",\"49\",\"50\",\"51\",\"52\",\"53\",\"54\",\"55\",\"56\",\"57\",\"58\",\"59\",\"60\",\"61\",\"62\",\"63\",\"64\",\"65\",\"66\",\"67\",\"68\",\"69\",\"70\",\"71\",\"72\",\"73\",\"74\",\"75\",\"76\",\"77\",\"78\",\"79\",\"80\",\"81\",\"82\",\"83\",\"84\",\"85\",\"86\",\"87\",\"88\",\"89\",\"90\",\"91\",\"92\",\"93\",\"94\",\"95\",\"96\",\"97\",\"98\",\"99\",\"100\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"17876961094725245024\",\"id\":\"7883436309669732702\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"17876961094725245024\",\"id\":\"6801211639140861993\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(10)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"17876961094725245024\",\"id\":\"7883436309669732702\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"17876961094725245024\",\"id\":\"6801211639140861993\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\",\"26\",\"27\",\"28\",\"29\",\"30\",\"31\",\"32\",\"33\",\"34\",\"35\",\"36\",\"37\",\"38\",\"39\",\"40\",\"41\",\"42\",\"43\",\"44\",\"45\",\"46\",\"47\",\"48\",\"49\",\"50\",\"51\",\"52\",\"53\",\"54\",\"55\",\"56\",\"57\",\"58\",\"59\",\"60\",\"61\",\"62\",\"63\",\"64\",\"65\",\"66\",\"67\",\"68\",\"69\",\"70\",\"71\",\"72\",\"73\",\"74\",\"75\",\"76\",\"77\",\"78\",\"79\",\"80\",\"81\",\"82\",\"83\",\"84\",\"85\",\"86\",\"87\",\"88\",\"89\",\"90\",\"91\",\"92\",\"93\",\"94\",\"95\",\"96\",\"97\",\"98\",\"99\",\"100\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"5357783408800328542\",\"id\":\"5657077803383894787\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"5357783408800328542\",\"id\":\"6046405484309645684\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(10)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"5357783408800328542\",\"id\":\"5657077803383894787\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"5357783408800328542\",\"id\":\"6046405484309645684\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
],
|
||||
"observables": {
|
||||
"changes": {
|
||||
"id": "7883436309669732702",
|
||||
"id": "5657077803383894787",
|
||||
"sync": false,
|
||||
"value": 0
|
||||
},
|
||||
"index": {
|
||||
"id": "6801211639140861993",
|
||||
"id": "6046405484309645684",
|
||||
"sync": true,
|
||||
"value": 50
|
||||
}
|
||||
@@ -1288,7 +1288,7 @@
|
||||
{
|
||||
"children": [],
|
||||
"instanceArgs": {
|
||||
"id": "14937051874603080956",
|
||||
"id": "16475915816684093584",
|
||||
"name": "obs-node"
|
||||
},
|
||||
"nodeType": "ObservableNode",
|
||||
@@ -1298,7 +1298,7 @@
|
||||
],
|
||||
"instanceArgs": {
|
||||
"handlers": {},
|
||||
"id": "11637156787135123699",
|
||||
"id": "10287540175234632775",
|
||||
"imports": {
|
||||
"data": [],
|
||||
"type": "async_block"
|
||||
@@ -1306,7 +1306,7 @@
|
||||
"mount_callbacks": [],
|
||||
"observables": {
|
||||
"obs-node": {
|
||||
"id": "14937051874603080956",
|
||||
"id": "16475915816684093584",
|
||||
"sync": false,
|
||||
"value": {
|
||||
"children": [
|
||||
@@ -1318,7 +1318,7 @@
|
||||
},
|
||||
"nodeType": "DOM",
|
||||
"props": {
|
||||
"setInnerHtml": "<img src='data:image/png;base64,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 truncated
|
||||
"setInnerHtml": "<img src='data:image/png;base64,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 truncated
|
||||
},
|
||||
"type": "node"
|
||||
}
|
||||
@@ -1353,7 +1353,7 @@
|
||||
"text/html": [
|
||||
"<div\n",
|
||||
" class=\"webio-mountpoint\"\n",
|
||||
" data-webio-mountpoint=\"18360380029162565945\"\n",
|
||||
" data-webio-mountpoint=\"3101149127362512616\"\n",
|
||||
">\n",
|
||||
" <script>\n",
|
||||
" (function(){\n",
|
||||
@@ -1363,7 +1363,7 @@
|
||||
" // correctly.\n",
|
||||
" if (typeof window.WebIO === \"undefined\") {\n",
|
||||
" document\n",
|
||||
" .querySelector('[data-webio-mountpoint=\"18360380029162565945\"]')\n",
|
||||
" .querySelector('[data-webio-mountpoint=\"3101149127362512616\"]')\n",
|
||||
" .innerHTML = (\n",
|
||||
" '<div style=\"padding: 1em; background-color: #f8d6da; border: 1px solid #f5c6cb; font-weight: bold;\">' +\n",
|
||||
" '<p><strong>WebIO not detected.</strong></p>' +\n",
|
||||
@@ -1376,8 +1376,8 @@
|
||||
" return;\n",
|
||||
" }\n",
|
||||
" WebIO.mount(\n",
|
||||
" document.querySelector('[data-webio-mountpoint=\"18360380029162565945\"]'),\n",
|
||||
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" window,\n",
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@@ -1385,7 +1385,7 @@
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|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
@@ -1459,7 +1459,7 @@
|
||||
"outputs": [
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{
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"data": {
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||||
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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"Figure(PyObject <Figure size 1000x400 with 2 Axes>)"
|
||||
]
|
||||
@@ -1557,6 +1557,8 @@
|
||||
"\n",
|
||||
"At first glance, it may seem that we would want to increase $M$ as much as possible, within the limits of our compute power, since the \"ideal\" is surely to optimize over the whole training set at once, right? Actually, no! The danger of increasing $M$ by too much (or equivalently, making $s$ too small), is that it can easily lead to **over-fitting**. The fact that stochastic optimization with small batches tends to \"bounce around\" the nominal optimum can be a benefit rather than a problem in machine-learning problems, because it tends to prevent you from over-fitting to the training data and failing to **generalize** well to other test data.\n",
|
||||
"\n",
|
||||
"* *In this simple linear-regression example, there are only 2 parameters x, so we are not in much danger of overfitting. This is more of a concern with huge models like neural networks that have an enormous number of parameters.*\n",
|
||||
"\n",
|
||||
"There are many variations and refinements of mini-batching for stochastic gradient descent that are being explored in the machine-learning literature, and many open problems. For example:\n",
|
||||
"\n",
|
||||
"* If you have a set of $m$ training data points, the statistical theory of mini-batching is clearest if you draw samples from this set *independently*, which means that you might occasionally draw the same sample more than once (i.e. you are \"sampling with replacement\"). However, for performance reasons nearly all machine learning is done by randomly shuffling the test data once and then streaming through it *in order* (*sequential* access = fast!), corresponding to \"sampling without replacement\". Unfortunately, it's *much* harder to prove theoretical guarantees for without-replacement sampling; for recent progress, see e.g. [Shamir (2016)](https://arxiv.org/abs/1603.00570).\n",
|
||||
@@ -1582,7 +1584,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"execution_count": 7,
|
||||
"id": "77481ff3",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
@@ -1708,7 +1710,7 @@
|
||||
"(function (val){return (val!=this.model[\"index\"]()) ? (this.valueFromJulia[\"index\"]=true, this.model[\"index\"](val)) : undefined})"
|
||||
]
|
||||
},
|
||||
"id": "14967416960772988177",
|
||||
"id": "11069568751189395699",
|
||||
"imports": {
|
||||
"data": [
|
||||
{
|
||||
@@ -1740,16 +1742,16 @@
|
||||
"type": "async_block"
|
||||
},
|
||||
"mount_callbacks": [
|
||||
"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"-4.0\",\"-3.8\",\"-3.6\",\"-3.4\",\"-3.2\",\"-3.0\",\"-2.8\",\"-2.6\",\"-2.4\",\"-2.2\",\"-2.0\",\"-1.8\",\"-1.6\",\"-1.4\",\"-1.2\",\"-1.0\",\"-0.8\",\"-0.6\",\"-0.4\",\"-0.2\",\"0.0\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"14967416960772988177\",\"id\":\"8687843440075232265\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"14967416960772988177\",\"id\":\"13534586711562492127\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(1)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"14967416960772988177\",\"id\":\"8687843440075232265\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"14967416960772988177\",\"id\":\"13534586711562492127\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"-4.0\",\"-3.8\",\"-3.6\",\"-3.4\",\"-3.2\",\"-3.0\",\"-2.8\",\"-2.6\",\"-2.4\",\"-2.2\",\"-2.0\",\"-1.8\",\"-1.6\",\"-1.4\",\"-1.2\",\"-1.0\",\"-0.8\",\"-0.6\",\"-0.4\",\"-0.2\",\"0.0\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"11069568751189395699\",\"id\":\"9518166551142544059\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"11069568751189395699\",\"id\":\"4597076079323710000\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(1)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"11069568751189395699\",\"id\":\"9518166551142544059\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"11069568751189395699\",\"id\":\"4597076079323710000\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
],
|
||||
"observables": {
|
||||
"changes": {
|
||||
"id": "8687843440075232265",
|
||||
"id": "9518166551142544059",
|
||||
"sync": false,
|
||||
"value": 0
|
||||
},
|
||||
"index": {
|
||||
"id": "13534586711562492127",
|
||||
"id": "4597076079323710000",
|
||||
"sync": true,
|
||||
"value": 16
|
||||
}
|
||||
@@ -1889,7 +1891,7 @@
|
||||
"(function (val){return (val!=this.model[\"index\"]()) ? (this.valueFromJulia[\"index\"]=true, this.model[\"index\"](val)) : undefined})"
|
||||
]
|
||||
},
|
||||
"id": "16366717349411083065",
|
||||
"id": "4126395763376122617",
|
||||
"imports": {
|
||||
"data": [
|
||||
{
|
||||
@@ -1921,16 +1923,16 @@
|
||||
"type": "async_block"
|
||||
},
|
||||
"mount_callbacks": [
|
||||
"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\",\"26\",\"27\",\"28\",\"29\",\"30\",\"31\",\"32\",\"33\",\"34\",\"35\",\"36\",\"37\",\"38\",\"39\",\"40\",\"41\",\"42\",\"43\",\"44\",\"45\",\"46\",\"47\",\"48\",\"49\",\"50\",\"51\",\"52\",\"53\",\"54\",\"55\",\"56\",\"57\",\"58\",\"59\",\"60\",\"61\",\"62\",\"63\",\"64\",\"65\",\"66\",\"67\",\"68\",\"69\",\"70\",\"71\",\"72\",\"73\",\"74\",\"75\",\"76\",\"77\",\"78\",\"79\",\"80\",\"81\",\"82\",\"83\",\"84\",\"85\",\"86\",\"87\",\"88\",\"89\",\"90\",\"91\",\"92\",\"93\",\"94\",\"95\",\"96\",\"97\",\"98\",\"99\",\"100\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"16366717349411083065\",\"id\":\"16625608181244927427\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"16366717349411083065\",\"id\":\"17764008571605328498\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(1)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"16366717349411083065\",\"id\":\"16625608181244927427\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"16366717349411083065\",\"id\":\"17764008571605328498\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\",\"26\",\"27\",\"28\",\"29\",\"30\",\"31\",\"32\",\"33\",\"34\",\"35\",\"36\",\"37\",\"38\",\"39\",\"40\",\"41\",\"42\",\"43\",\"44\",\"45\",\"46\",\"47\",\"48\",\"49\",\"50\",\"51\",\"52\",\"53\",\"54\",\"55\",\"56\",\"57\",\"58\",\"59\",\"60\",\"61\",\"62\",\"63\",\"64\",\"65\",\"66\",\"67\",\"68\",\"69\",\"70\",\"71\",\"72\",\"73\",\"74\",\"75\",\"76\",\"77\",\"78\",\"79\",\"80\",\"81\",\"82\",\"83\",\"84\",\"85\",\"86\",\"87\",\"88\",\"89\",\"90\",\"91\",\"92\",\"93\",\"94\",\"95\",\"96\",\"97\",\"98\",\"99\",\"100\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"4126395763376122617\",\"id\":\"10369096649874648088\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"4126395763376122617\",\"id\":\"5221676401620031846\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(1)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"4126395763376122617\",\"id\":\"10369096649874648088\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"4126395763376122617\",\"id\":\"5221676401620031846\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
],
|
||||
"observables": {
|
||||
"changes": {
|
||||
"id": "16625608181244927427",
|
||||
"id": "10369096649874648088",
|
||||
"sync": false,
|
||||
"value": 0
|
||||
},
|
||||
"index": {
|
||||
"id": "17764008571605328498",
|
||||
"id": "5221676401620031846",
|
||||
"sync": true,
|
||||
"value": 1
|
||||
}
|
||||
@@ -2070,7 +2072,7 @@
|
||||
"(function (val){return (val!=this.model[\"index\"]()) ? (this.valueFromJulia[\"index\"]=true, this.model[\"index\"](val)) : undefined})"
|
||||
]
|
||||
},
|
||||
"id": "5437058644484422773",
|
||||
"id": "17123112634148865443",
|
||||
"imports": {
|
||||
"data": [
|
||||
{
|
||||
@@ -2102,16 +2104,16 @@
|
||||
"type": "async_block"
|
||||
},
|
||||
"mount_callbacks": [
|
||||
"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\",\"26\",\"27\",\"28\",\"29\",\"30\",\"31\",\"32\",\"33\",\"34\",\"35\",\"36\",\"37\",\"38\",\"39\",\"40\",\"41\",\"42\",\"43\",\"44\",\"45\",\"46\",\"47\",\"48\",\"49\",\"50\",\"51\",\"52\",\"53\",\"54\",\"55\",\"56\",\"57\",\"58\",\"59\",\"60\",\"61\",\"62\",\"63\",\"64\",\"65\",\"66\",\"67\",\"68\",\"69\",\"70\",\"71\",\"72\",\"73\",\"74\",\"75\",\"76\",\"77\",\"78\",\"79\",\"80\",\"81\",\"82\",\"83\",\"84\",\"85\",\"86\",\"87\",\"88\",\"89\",\"90\",\"91\",\"92\",\"93\",\"94\",\"95\",\"96\",\"97\",\"98\",\"99\",\"100\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"5437058644484422773\",\"id\":\"17567114780900454286\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"5437058644484422773\",\"id\":\"17281545559909914123\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(10)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"5437058644484422773\",\"id\":\"17567114780900454286\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"5437058644484422773\",\"id\":\"17281545559909914123\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
"function () {\n var handler = (function (ko, koPunches) {\n ko.punches.enableAll();\n ko.bindingHandlers.numericValue = {\n init: function(element, valueAccessor, allBindings, data, context) {\n var stringified = ko.observable(ko.unwrap(valueAccessor()));\n stringified.subscribe(function(value) {\n var val = parseFloat(value);\n if (!isNaN(val)) {\n valueAccessor()(val);\n }\n });\n valueAccessor().subscribe(function(value) {\n var str = JSON.stringify(value);\n if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n return;\n if ([\"null\", \"\"].indexOf(str) >= 0)\n return;\n stringified(str);\n });\n ko.applyBindingsToNode(\n element,\n {\n value: stringified,\n valueUpdate: allBindings.get('valueUpdate'),\n },\n context,\n );\n }\n };\n var json_data = {\"formatted_vals\":[\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\",\"26\",\"27\",\"28\",\"29\",\"30\",\"31\",\"32\",\"33\",\"34\",\"35\",\"36\",\"37\",\"38\",\"39\",\"40\",\"41\",\"42\",\"43\",\"44\",\"45\",\"46\",\"47\",\"48\",\"49\",\"50\",\"51\",\"52\",\"53\",\"54\",\"55\",\"56\",\"57\",\"58\",\"59\",\"60\",\"61\",\"62\",\"63\",\"64\",\"65\",\"66\",\"67\",\"68\",\"69\",\"70\",\"71\",\"72\",\"73\",\"74\",\"75\",\"76\",\"77\",\"78\",\"79\",\"80\",\"81\",\"82\",\"83\",\"84\",\"85\",\"86\",\"87\",\"88\",\"89\",\"90\",\"91\",\"92\",\"93\",\"94\",\"95\",\"96\",\"97\",\"98\",\"99\",\"100\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"17123112634148865443\",\"id\":\"1993935220063607529\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"17123112634148865443\",\"id\":\"7203213983935778271\",\"type\":\"observable\"})};\n var self = this;\n function AppViewModel() {\n for (var key in json_data) {\n var el = json_data[key];\n this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n }\n \n [this[\"formatted_val\"]=ko.computed( function(){\n return this.formatted_vals()[parseInt(this.index())-(10)];\n }\n,this)]\n [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"17123112634148865443\",\"id\":\"1993935220063607529\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"17123112634148865443\",\"id\":\"7203213983935778271\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n \n }\n self.model = new AppViewModel();\n self.valueFromJulia = {};\n for (var key in json_data) {\n self.valueFromJulia[key] = false;\n }\n ko.applyBindings(self.model, self.dom);\n}\n);\n (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/2df50fa7f121fedbb109a97bba894e56aef8c852-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/bb2c111220e03062c2973eb306d97c8fc96857d6-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
|
||||
],
|
||||
"observables": {
|
||||
"changes": {
|
||||
"id": "17567114780900454286",
|
||||
"id": "1993935220063607529",
|
||||
"sync": false,
|
||||
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"index": {
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"id": "17281545559909914123",
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||||
"id": "7203213983935778271",
|
||||
"sync": true,
|
||||
"value": 100
|
||||
}
|
||||
@@ -2138,7 +2140,7 @@
|
||||
{
|
||||
"children": [],
|
||||
"instanceArgs": {
|
||||
"id": "2951878298160918351",
|
||||
"id": "16954137743051292131",
|
||||
"name": "obs-node"
|
||||
},
|
||||
"nodeType": "ObservableNode",
|
||||
@@ -2148,7 +2150,7 @@
|
||||
],
|
||||
"instanceArgs": {
|
||||
"handlers": {},
|
||||
"id": "14469198925155755998",
|
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"id": "892835830615702826",
|
||||
"imports": {
|
||||
"data": [],
|
||||
"type": "async_block"
|
||||
@@ -2156,7 +2158,7 @@
|
||||
"mount_callbacks": [],
|
||||
"observables": {
|
||||
"obs-node": {
|
||||
"id": "2951878298160918351",
|
||||
"id": "16954137743051292131",
|
||||
"sync": false,
|
||||
"value": {
|
||||
"children": [
|
||||
@@ -2168,7 +2170,7 @@
|
||||
},
|
||||
"nodeType": "DOM",
|
||||
"props": {
|
||||
"setInnerHtml": "<img src='data:image/png;base64,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 truncated
|
||||
"setInnerHtml": "<img src='data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA04AAAGICAYAAAB2jrABAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAA9hAAAPYQGoP6dpAADwIElEQVR4nOzdd3hU1dbA4d+k994LSehdepNAkCYdA4Id7CgKiFhRESxY+DSoFBUQG50AokiVQOih904qCWmk15k53x+TySWQhJSZnJlkv8+T595Mzuy9EuLkrFl7r62QJElCEARBEARBEARBqJCJ3AEIgiAIgiAIgiAYOpE4CYIgCIIgCIIg3IdInARBEARBEARBEO5DJE6CIAiCIAiCIAj3IRInQRAEQRAEQRCE+xCJkyAIgiAIgiAIwn2IxEkQBEEQBEEQBOE+ROIkCIIgCIIgCIJwHyJxEgRBEARBEARBuA+ROAm1FhgYyMSJE0s/j4iIQKFQEBERodd5Fy5cyPLly2s9TnR0NAqFQidjGZIVK1YQFhZW5etDQkIICQkp/TwvL4+PP/5Y7/+O92MocQiCIBijwMBAPv74Y7nDqLaqxv3xxx+jUCj0H5AgAGZyByDUP506deLgwYO0bt1ar/MsXLgQNze3Mkmb8D8rVqzg7NmzTJs2rUrXL1y4sMzneXl5zJ49G6BMQlXXDCUOQRAEwfC88MILPPzww3KHITQQInFqoCRJoqCgAGtra52P7eDgQI8ePXQ+rqBf+k50tYqLi1EoFJiZiZcfQRAEY5OXl4eNjc09j+viviI/Px8rK6tqVZD8/Pzw8/Or8ZyCUB1iqZ6R27RpE+3bt8fS0pLGjRszf/78csvWCoWC1157jcWLF9OqVSssLS359ddfAZg9ezbdu3fHxcUFBwcHOnXqxNKlS5EkqcwYxcXFvP3223h5eWFjY0Pv3r05cuTIPTFVtFTv6NGjjBw5EhcXF6ysrOjYsSNr1qwpc83y5ctRKBTs3r2bV155BTc3N1xdXQkNDeXmzZul1wUGBnLu3Dn27NmDQqFAoVAQGBh435/XzZs3GTduHPb29jg6OjJ+/HiSkpLKvbYq8ebl5TFjxgyCgoKwsrLCxcWFLl26sHLlyjLXHT58mBEjRuDq6oqVlRVNmjS5pxJ05coVnnjiCTw8PLC0tKRVq1YsWLCg3J/typUrmTlzJj4+Pjg4ODBgwAAuXbpUel1ISAj//PMPMTExpT+f+/0hunOpXnR0NO7u7oDm90P7/Dure9WJ9/fff+fNN9/E19cXS0tLrl69SkpKCq+++iqtW7fGzs4ODw8PHnroISIjI0ufr6s41Go1n376KS1atMDa2honJyfat2/P/PnzK/2ZTJo0CSsrK44dO1ZmrP79++Pp6UliYmKlzxcEQTBUq1evpmfPntja2mJnZ8fgwYM5ceJEmWsmTpyInZ0dZ86cYdCgQdjb29O/f3+g8vuKffv20b9/f+zt7bGxsaFXr178888/ZcbW/r3fvn07zz33HO7u7tjY2FBYWFit76O8e57AwECGDx/O1q1b6dSpE9bW1rRs2ZJly5bdd7wvvvgCExMTNm/efM/PwsbGhjNnzlQrPqF+EW/5GrGtW7cSGhpKnz59WL16NUqlknnz5nHr1q1yr9+4cSORkZF89NFHeHl54eHhAWhuTl9++WUaNWoEwKFDh3j99ddJSEjgo48+Kn3+iy++yG+//caMGTMYOHAgZ8+eJTQ0lOzs7PvGunv3bh5++GG6d+/O4sWLcXR0ZNWqVYwfP568vLx7ltu98MILDBs2jBUrVhAXF8dbb73FU089xX///QfAhg0bGDt2LI6OjqVLzCwtLSuNIT8/nwEDBnDz5k3mzp1L8+bN+eeffxg/fnyN450+fTq///47n376KR07diQ3N5ezZ8+SlpZWOta2bdsYMWIErVq14ptvvqFRo0ZER0ezffv20mvOnz9Pr169aNSoEf/3f/+Hl5cX27ZtY8qUKaSmpjJr1qwy8b3//vs8+OCDLFmyhKysLN555x1GjBjBhQsXMDU1ZeHChbz00ktcu3aNDRs23Pff527e3t5s3bqVhx9+mOeff54XXngBoDSJqW687733Hj179mTx4sWYmJjg4eFBSkoKALNmzcLLy4ucnBw2bNhASEgIu3btIiQkRGdxfPXVV3z88cd88MEH9OnTh+LiYi5evEhGRkalP4ewsDAOHz7MuHHjOHbsGE5OTsyePZuIiAi2bt2Kt7d3tX+2giAIcvv888/54IMPePbZZ/nggw8oKiri66+/Jjg4mCNHjpRZgVBUVMTIkSN5+eWXeffdd1EqlaVfK+++Ys+ePQwcOJD27duzdOlSLC0tWbhwISNGjGDlypX3/M197rnnGDZsGL///ju5ubmYm5vr5Hs8deoUb775Ju+++y6enp4sWbKE559/nqZNm9KnT58Kn/fOO+8QGRnJhAkTOHHiBAEBAfzyyy/8+uuvLFmyhHbt2ukkPsFISYLR6tq1q+Tv7y8VFhaWPpadnS25urpKd//TApKjo6OUnp5e6ZgqlUoqLi6W5syZI7m6ukpqtVqSJEm6cOGCBEhvvPFGmev//PNPCZAmTJhQ+tju3bslQNq9e3fpYy1btpQ6duwoFRcXl3n+8OHDJW9vb0mlUkmSJEm//PKLBEivvvpqmeu++uorCZASExNLH2vTpo3Ut2/fSr+fOy1atEgCpE2bNpV5/MUXX5QA6Zdffql2vG3btpVGjx5d6bxNmjSRmjRpIuXn51d4zeDBgyU/Pz8pMzOzzOOvvfaaZGVlVfrvpv3ZDh06tMx1a9askQDp4MGDpY8NGzZMCggIqDS2O/Xt27fMzzMlJUUCpFmzZtU63j59+tx3fqVSKRUXF0v9+/eXHnnkEZ3GMXz4cKlDhw73jaE8V65ckRwcHKTRo0dLO3fulExMTKQPPvigRmMJgiDUtYCAgDKvn7GxsZKZmZn0+uuvl7kuOztb8vLyksaNG1f62IQJEyRAWrZs2T3jVnRf0aNHD8nDw0PKzs4ufUypVEpt27aV/Pz8Su8rtH/vn3nmmSrFXZFZs2bdc88TEBAgWVlZSTExMaWP5efnSy4uLtLLL7983zFTU1MlPz8/qVu3btLx48clGxsb6amnnrrv84T6TyzVM1K5ubkcPXqU0aNHY2FhUfq4nZ0dI0aMKPc5Dz30EM7Ozvc8/t9//zFgwAAcHR0xNTXF3Nycjz76iLS0NJKTkwFNBQbgySefLPPccePG3XevytWrV7l48WLpc5VKZenH0KFDSUxMLLPMDGDkyJFlPm/fvj0AMTExlc4FoFKpysyhVqtLvwd7e/t7xn7iiSdqHG+3bt34999/effdd4mIiCA/P7/MWJcvX+batWs8//zzWFlZlRtvQUEBu3bt4pFHHsHGxuae+QoKCjh06JDOfj61VZN4x4wZU+5YixcvplOnTlhZWWFmZoa5uTm7du3iwoULOo2jW7dunDp1ildffZVt27aRlZVV5e+3adOm/Pzzz2zcuJHhw4cTHBxslB2qBEEQQLMKQqlU8swzz5R53bSysqJv377ldjCt6DX87vuK3NxcDh8+zNixY7Gzsyt93NTUlKeffpr4+Ph7/t5XNHZtdejQoXQlDYCVlRXNmzev0t9JV1dXVq9ezfHjx0tXNSxevFgvcQrGRSRORur27dtIkoSnp+c9XyvvMaDcZUVHjhxh0KBBAPz888/s37+fqKgoZs6cCVCaCGiXnnl5eZV5vpmZGa6urpXGql06OGPGDMzNzct8vPrqqwCkpqaWec7dY2qX4d2dmJSnSZMmZeaYM2dO6fdQ3s/m7u+pOvF+9913vPPOO2zcuJF+/frh4uLC6NGjuXLlCkDpcrTKNq6mpaWhVCr5/vvv75lv6NChOv/51FZN4i3vd++bb77hlVdeoXv37qxfv55Dhw4RFRXFww8/XKXvozpxvPfee8ybN49Dhw4xZMgQXF1d6d+/P0ePHq3S9zxs2DA8PT0pKChg+vTpmJqaVul5giAIhkb7N65r1673vHauXr36ntdvGxsbHBwcyh3r7td27b1Jea/5Pj4+AGWWspc3hq6Ud29iaWlZ5b+T3bt3p02bNhQUFPDKK69ga2ur6xAFIyT2OBkpZ2dnFApFufuZKmp2UF5zgFWrVmFubs7ff/9dpiKycePGMtdpX4CSkpLw9fUtfVypVN7zIng3Nzc3QHPzGhoaWu41LVq0qHSM6ti8eXOZzaXaF2tXV9dym1nc/fOqTry2trbMnj2b2bNnc+vWrdLq04gRI7h48WLpXpz4+PgK43V2di59N27y5MnlXhMUFFTh8+taTeIt73fvjz/+ICQkhEWLFpV5vCp75qobh5mZGdOnT2f69OlkZGSwc+dO3n//fQYPHkxcXFy5HaLuNGnSJLKzs2nTpg1TpkwhODi43OqtIAiCodP+jVu3bh0BAQH3vb6yxkJ3f83Z2RkTE5NyG+doGzxp56/K+HKaNWsWZ86coXPnznz00UcMHz6cxo0byx2WIDOROBkpW1tbunTpwsaNG5k3b17pcr2cnBz+/vvvKo+jbQt95zvo+fn5/P7772Wu03Zb+/PPP+ncuXPp42vWrCmzUbQ8LVq0oFmzZpw6dYrPP/+8yrHdT0XvHFW0cbNfv36sWbOGv/76q8xStxUrVugkXk9PTyZOnMipU6cICwsjLy+P5s2b06RJE5YtW8b06dPLbWBhY2NDv379OHHiBO3bty+z9LI2qvPOWkXPh3urWLqKV6FQ3PPzOH36NAcPHsTf319vcTg5OTF27FgSEhKYNm0a0dHRlbZiX7JkCX/88QfLli2jb9++dOrUiWefffaeNxcEQRCMweDBgzEzM+PatWs6XyZna2tL9+7dCQ8PZ968eaWtydVqNX/88Qd+fn40b95cp3Pqw44dO5Line truncated
|
||||
},
|
||||
"type": "node"
|
||||
}
|
||||
@@ -2203,7 +2205,7 @@
|
||||
"text/html": [
|
||||
"<div\n",
|
||||
" class=\"webio-mountpoint\"\n",
|
||||
" data-webio-mountpoint=\"3751222088831724880\"\n",
|
||||
" data-webio-mountpoint=\"856743641568635235\"\n",
|
||||
">\n",
|
||||
" <script>\n",
|
||||
" (function(){\n",
|
||||
@@ -2213,7 +2215,7 @@
|
||||
" // correctly.\n",
|
||||
" if (typeof window.WebIO === \"undefined\") {\n",
|
||||
" document\n",
|
||||
" .querySelector('[data-webio-mountpoint=\"3751222088831724880\"]')\n",
|
||||
" .querySelector('[data-webio-mountpoint=\"856743641568635235\"]')\n",
|
||||
" .innerHTML = (\n",
|
||||
" '<div style=\"padding: 1em; background-color: #f8d6da; border: 1px solid #f5c6cb; font-weight: bold;\">' +\n",
|
||||
" '<p><strong>WebIO not detected.</strong></p>' +\n",
|
||||
@@ -2226,8 +2228,8 @@
|
||||
" return;\n",
|
||||
" }\n",
|
||||
" WebIO.mount(\n",
|
||||
" document.querySelector('[data-webio-mountpoint=\"3751222088831724880\"]'),\n",
|
||||
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@@ -2349,15 +2351,25 @@
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"id": "a3bfd367",
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"source": [
|
||||
"## Other stochastic optimization algorithms\n",
|
||||
"## Other algorithms and generalizations\n",
|
||||
"\n",
|
||||
"There are *many, many* other stochastic optimization algorithms, some of which are linked in the Wikipedia article on [stochastic gradient descent](https://en.wikipedia.org/wiki/Stochastic_gradient_descent). This includes fancier quasi-Newton algorithms (see e.g. [Zhao et al. (2017)](https://arxiv.org/abs/1704.00116) and references therein), and algorithms for more complicated optimization problems: stochastic optimization with nonlinear constraints (see e.g. [Lan and Zhou (2016)](https://arxiv.org/abs/1604.03887) or stochastic \"minimax\" problems (e.g. [Yang et al. (2022)](https://arxiv.org/abs/2202.07868)) and robust stochastic optimization (e.g. [Chen et al (2020)](https://doi.org/10.1287/mnsc.2020.3603))."
|
||||
"There are *many, many* other stochastic optimization algorithms, some of which are linked in the Wikipedia article on [stochastic gradient descent](https://en.wikipedia.org/wiki/Stochastic_gradient_descent), with many variants on ways to choose parameters like learning rates and momentum coefficients. This includes fancier quasi-Newton algorithms (see e.g. [Zhao et al. (2017)](https://arxiv.org/abs/1704.00116) and references therein), and algorithms for more complicated optimization problems: stochastic optimization with nonlinear constraints (see e.g. [Lan and Zhou (2016)](https://arxiv.org/abs/1604.03887) or stochastic \"minimax\" problems (e.g. [Yang et al. (2022)](https://arxiv.org/abs/2202.07868)) and robust stochastic optimization (e.g. [Chen et al (2020)](https://doi.org/10.1287/mnsc.2020.3603)).\n",
|
||||
"\n",
|
||||
"Note that all of these algorithms can be trivially modified to accommodate objective functions that have a non-stochastic part, e.g.:\n",
|
||||
"$$\n",
|
||||
"f(x) = f_0(x) + E[f_i(x)] \\, ,\n",
|
||||
"$$\n",
|
||||
"since then $\\nabla f = \\nabla f_0 + E[\\nabla f_i]$ and you can estimate $\\nabla f$ by computing $\\nabla f_0$ *exactly* and then estimating $E[\\nabla f_i]$ from a mini-batch sample. For example, this arises in [Tikhonov-regularized least-squares](https://en.wikipedia.org/wiki/Ridge_regression):\n",
|
||||
"$$\n",
|
||||
"f(x) = \\underbrace{\\lambda \\Vert x \\Vert_2^2}_{f_0(x)} + \\frac{1}{m} \\sum_i \\underbrace{\\left\\Vert \\text{model}(x, \\text{input}_i) - \\text{output}_i \\right\\Vert_2^2}_{f_i(x)}\\, ,\n",
|
||||
"$$\n",
|
||||
"where $\\nabla f_0 = 2\\lambda x$ is easy and cheap to compute since it is independent of $m$."
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"@webio": {
|
||||
"lastCommId": "1ac88b83e483425592c8f46839a39daf",
|
||||
"lastCommId": "107d6a3486cd4e2db476ae69e28b361e",
|
||||
"lastKernelId": "958a809a-e9d1-4ebb-af5d-5e8840746798"
|
||||
},
|
||||
"kernelspec": {
|
||||
|
||||
Reference in new issue
Block a user