First model with scikit-learn - PDF of the course

Module 1. The Predictive Modeling Pipeline Fitting a scikit-learn model on numerical data
#1

Hello,

I can’t download the PDF version of the course " First model with scikit-learn" - I succeeded to dowload the previous one…

The error is: 500 : Internal Server Error

Package hyperref Warning: Rerun to get /PageLabels entry.

(/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsa.fd)
(/usr/share/texlive/texmf-dist/tex/latex/amsfonts/umsb.fd)
(/usr/share/texlive/texmf-dist/tex/latex/jknapltx/ursfs.fd)

LaTeX Warning: No \author given.

(/usr/share/texlive/texmf-dist/tex/generic/stringenc/se-ascii-print.def)
[1] [2]

LaTeX Warning: File `…/figures/api_diagram-predictor.fit.svg’ not found on inp
ut line 578.

! LaTeX Error: File `…/figures/api_diagram-predictor.fit.svg’ not found.

See the LaTeX manual or LaTeX Companion for explanation.
Type H for immediate help.
…

l.578 …/figures/api_diagram-predictor.fit.svg}

?
! Emergency stop.
…

l.578 …/figures/api_diagram-predictor.fit.svg}

Output written on notebook.pdf (2 pages).
Transcript written on notebook.log.

Thanks for your help.

Steve

Error when downloading as Pdf via LaTex
Download as PDF via LaTeX
#2

Same problem with the course " Preprocessing for numerical features"

#3

I don’t know if we will be able to solve the issue shortly, to be honest. However, you can find all notebooks and content directly on the following repository: GitHub - INRIA/scikit-learn-mooc: scikit-learn-mooc

1 Like
#4

@brospars I assume that the “not found error” could be due to the directory where we start the jupyter kernel in the docker image. Since we try to get a relative path, I assume that we are not in the right directory.

I connect to a container to run the command. I get another error due to the SVG itself (no BoundingBox) but I don’t have the issue with file not found.

#5

I am going to be pragmatic and say that downloading the notebook as PDF is not something we care too much about so this is very unlikely to be fixed for this MOOC session:

Possible work-arounds:

1 Like