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pairing notebooks

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Jonathan Taylor
2023-08-20 19:41:01 -07:00
parent c82e9d5067
commit 058e89ef1c
22 changed files with 489 additions and 346 deletions
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17
Ch02-statlearn-lab.Rmd
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---
jupyter:
jupytext:
cell_metadata_filter: -all
formats: ipynb,Rmd
main_language: python
text_representation:
extension: .Rmd
format_name: rmarkdown
format_version: '1.2'
jupytext_version: 1.14.7
---
# Chapter 2 # Chapter 2
@@ -65,7 +78,7 @@ print('fit a model with', 11, 'variables')
The following command will provide information about the `print()` function. The following command will provide information about the `print()` function.
```{python} ```{python}
print? # print?
``` ```
@@ -215,7 +228,7 @@ documentation associated with the function `fun`, if it exists.
We can try this for `np.array()`. We can try this for `np.array()`.
```{python} ```{python}
np.array? # np.array?
``` ```
This documentation indicates that we could create a floating point array by passing a `dtype` argument into `np.array()`. This documentation indicates that we could create a floating point array by passing a `dtype` argument into `np.array()`.

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Ch02-statlearn-lab.ipynb
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Ch03-linreg-lab.Rmd
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---
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main_language: python
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---
# Chapter 3 # Chapter 3

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Ch03-linreg-lab.ipynb
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Ch04-classification-lab.Rmd
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---
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# Chapter 4 # Chapter 4

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Ch04-classification-lab.ipynb
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Ch05-resample-lab.Rmd
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---
jupyter:
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---
# Chapter 5 # Chapter 5

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Ch05-resample-lab.ipynb
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Ch06-varselect-lab.Rmd
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---
jupyter:
jupytext:
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main_language: python
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---
# Chapter 6 # Chapter 6
@@ -32,7 +45,7 @@ from ISLP.models import \
(Stepwise, (Stepwise,
sklearn_selected, sklearn_selected,
sklearn_selection_path) sklearn_selection_path)
!pip install l0bnb # !pip install l0bnb
from l0bnb import fit_path from l0bnb import fit_path
``` ```

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Ch06-varselect-lab.ipynb
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Ch07-nonlin-lab.Rmd
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# Chapter 7 # Chapter 7

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Ch07-nonlin-lab.ipynb
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Ch08-baggboost-lab.Rmd
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# Chapter 8 # Chapter 8

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Ch08-baggboost-lab.ipynb
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Ch09-svm-lab.Rmd
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---
# Chapter 9 # Chapter 9

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Ch09-svm-lab.ipynb
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Ch11-surv-lab.Rmd
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# Chapter 11 # Chapter 11

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Ch11-surv-lab.ipynb
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Ch12-unsup-lab.Rmd
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---
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---
# Chapter 12 # Chapter 12
@@ -207,7 +220,7 @@ We can plot the PVE explained by each component, as well as the cumulative PVE.
plot the proportion of variance explained. plot the proportion of variance explained.
```{python} ```{python}
%%capture # %%capture
fig, axes = plt.subplots(1, 2, figsize=(15, 6)) fig, axes = plt.subplots(1, 2, figsize=(15, 6))
ticks = np.arange(pcaUS.n_components_)+1 ticks = np.arange(pcaUS.n_components_)+1
ax = axes[0] ax = axes[0]

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Ch12-unsup-lab.ipynb
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Ch13-multiple-lab.Rmd
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# Chapter 13 # Chapter 13

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Ch13-multiple-lab.ipynb
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