Updates and fixes

clean/01_intro.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -966,9 +966,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "scrolled": true
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1135,7 +1133,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1569,18 +1567,6 @@
    "display_name": "Python 3",
    "language": "python",
    "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.4"
   }
  },
  "nbformat": 4,

clean/02_production.ipynb

@@ -411,8 +411,7 @@
    "source": [
     "bears = bears.new(item_tfms=RandomResizedCrop(128, min_scale=0.3))\n",
     "dls = bears.dataloaders(path)\n",
-    "dls.train.get_idxs = lambda: Inf.ones\n",
-    "dls.train.show_batch(max_n=4, nrows=1)"
+    "dls.train.show_batch(max_n=4, nrows=1, unique=True)"
    ]
   },
   {
@@ -443,8 +442,7 @@
    "source": [
     "bears = bears.new(item_tfms=Resize(128), batch_tfms=aug_transforms(mult=2))\n",
     "dls = bears.dataloaders(path)\n",
-    "dls.train.get_idxs = lambda: Inf.ones\n",
-    "dls.train.show_batch(max_n=8, nrows=2)"
+    "dls.train.show_batch(max_n=8, nrows=2, unique=True)"
    ]
   },
   {
@@ -1082,18 +1080,6 @@
    "display_name": "Python 3",
    "language": "python",
    "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.4"
   }
  },
  "nbformat": 4,

clean/08_collab.ipynb

@@ -1182,7 +1182,7 @@
     }
    ],
    "source": [
-    "movie_bias = learn.model.movie_bias.weight.squeeze()\n",
+    "movie_bias = learn.model.movie_bias.squeeze()\n",
     "idxs = movie_bias.argsort()[:5]\n",
     "[dls.classes['title'][i] for i in idxs]"
    ]
@@ -1236,7 +1236,7 @@
     "g = ratings.groupby('title')['rating'].count()\n",
     "top_movies = g.sort_values(ascending=False).index.values[:1000]\n",
     "top_idxs = tensor([learn.dls.classes['title'].o2i[m] for m in top_movies])\n",
-    "movie_w = learn.model.movie_factors.weight[top_idxs].cpu().detach()\n",
+    "movie_w = learn.model.movie_factors[top_idxs].cpu().detach()\n",
     "movie_pca = movie_w.pca(3)\n",
     "fac0,fac1,fac2 = movie_pca.t()\n",
     "idxs = np.random.choice(len(top_movies), 50, replace=False)\n",
@@ -1703,6 +1703,18 @@
    "display_name": "Python 3",
    "language": "python",
    "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.4"
   }
  },
  "nbformat": 4,