This is a reduced version of the full status check rendered for each
lecture repository.
It does not link to rendered PDF files and only produces markdown
tables, which allows it to be appended to a pull request. It serves as a
rough check to ensure that the PR does not cause major breakage.
Merge 13d5ea13ed847415dd2bb2ec4f8edaeaf56f7da4 into ebfbf09a68ee1f2d39196021c35ffbe274b7db25
Latest commits per lecture (times in UTC)
lecture_i2ml
11 topics with a total of 69 slides
cart
Slide
Compiles?
Comparison
Note
ns-deprec
✅
No reference PDF
slides-cart-computationalaspects
✅
❓
Dissimilar pages: 2, 3, 4, 11, 12
slides-cart-discussion
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
slides-cart-nutshell-alternative
✅
No reference PDF
slides-cart-nutshell
❌
1175: LaTeX Warning: File
‘slides/cart/figure_man/nutshell-cart-learning.png’ not found on input
line 39. 1175: ! Package pdftex.def Error: File
‘slides/cart/figure_man/nutshell-cart-learning.png’ not found: using
draft setting. 1175: See the pdftex.def package documentation for
explanation.
1176: ! Package pdftex.def Error: File
‘slides/cart/figure_man/nutshell-cart-learning.png’ not found: using
draft setting. 1176: See the pdftex.def package documentation for
explanation. 1176: Type H \ for immediate help.
slides-cart-predictions
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
slides-cart-splitcriteria-classification
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
slides-cart-splitcriteria-regression
✅
❓
Dissimilar pages: 2, 3, 8, 9, 10
slides-cart-stoppingpruning
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
slides-cart-treegrowing
✅
❓
Dissimilar pages: 2, 3, 7, 8, 9
evaluation
Slide
Compiles?
Comparison
Note
slides-evaluation-auc-mwu
✅
❓
Dissimilar pages: 2, 3, 4, 6, 7
slides-evaluation-costcurves
✅
❌
Differing page count: 17 vs 9
slides-evaluation-generr
✅
❓
Dissimilar pages: 2, 3, 4, 8, 9
slides-evaluation-mcauc
✅
❓
Dissimilar pages: 1, 2, 3, 4, 5
slides-evaluation-measures-classification
✅
❓
Dissimilar pages: 2, 3, 4, 5, 9
slides-evaluation-measures-regression
✅
❓
Dissimilar pages: 2, 3, 4, 5, 7
slides-evaluation-nutshell
✅
No reference PDF
slides-evaluation-overfitting-underfitting
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
slides-evaluation-partialauc
✅
❓
Dissimilar pages: 1, 2, 3, 4, 5
slides-evaluation-prcurves
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
slides-evaluation-resampling-1
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
slides-evaluation-resampling-2
✅
❓
Dissimilar pages: 2, 5, 6, 7, 10
slides-evaluation-rocbasics
✅
❓
Dissimilar pages: 3, 6, 8, 11, 12
slides-evaluation-roccurves
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
slides-evaluation-test
✅
❓
Dissimilar pages: 2, 4, 9, 11, 12
slides-evaluation-train
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
forests
Slide
Compiles?
Comparison
Note
slides-forests-bagging
✅
❓
Dissimilar pages: 2, 3, 4, 8, 9
slides-forests-benchmark
✅
❓
Dissimilar pages: 1, 2, 3, 4, 5
slides-forests-discussion
✅
❓
Dissimilar pages: 1, 2, 3, 4
slides-forests-featureimportance
✅
❓
Dissimilar pages: 1, 2, 3, 4, 5
slides-forests-intro
✅
❓
Dissimilar pages: 2, 3, 5, 8, 9
slides-forests-nutshell
✅
✅
slides-forests-proximities
✅
❓
Dissimilar pages: 2, 3, 4, 5, 7
knn
Slide
Compiles?
Comparison
Note
slides-knn
✅
❓
Dissimilar pages: 2, 3, 4, 6, 10
ml-basics
Slide
Compiles?
Comparison
Note
slides-basics-data
✅
❓
Dissimilar pages: 2, 7, 8, 9, 10
slides-basics-learner
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
slides-basics-learnercomponents-hro
✅
❓
Dissimilar pages: 2, 3, 5, 7, 8
slides-basics-models-parameters
✅
❓
Dissimilar pages: 2, 3, 6, 7, 11
slides-basics-nutshell
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
slides-basics-optimization
✅
❓
Dissimilar pages: 2, 3, 4, 5, 11
slides-basics-riskminimization
✅
❓
Dissimilar pages: 2, 4, 5, 7, 10
slides-basics-task
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
slides-basics-whatisml
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
ml-philosophy
Slide
Compiles?
Comparison
Note
slides-mlphilo-2cultures
✅
No reference PDF
slides-mlphilo-blackboxes
✅
No reference PDF
slides-mlphilo-computerscience
✅
No reference PDF
slides-mlphilo-ontology
✅
No reference PDF
nested-resampling
Slide
Compiles?
Comparison
Note
slides-nested-nestedintro
✅
❓
Dissimilar pages: 2, 3, 4, 6, 7
slides-nested-nestedresampling
✅
❓
Dissimilar pages: 3, 4, 5, 6, 7
slides-nested-trainvalidtest
✅
❓
Dissimilar pages: 1, 2, 3, 4, 5
neural-networks
Slide
Compiles?
Comparison
Note
slides-neural-networks-nutshell
✅
No reference PDF
supervised-classification
Slide
Compiles?
Comparison
Note
slides-classification-basicdefs
✅
❓
Dissimilar pages: 3, 4, 5, 6, 9
slides-classification-discranalysis
✅
❓
Dissimilar pages: 3, 4, 6, 7, 10
slides-classification-linear
✅
❓
Dissimilar pages: 1, 2, 3, 4
slides-classification-logistic
✅
❓
Dissimilar pages: 2, 3, 4, 7, 9
slides-classification-naivebayes
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
slides-classification-nutshell
❌
1273: ! LaTeX Error: Lonely \item–perhaps a missing list environment.
1273: See the LaTeX manual or LaTeX Companion for explanation. 1273:
Type H \ for immediate help.
slides-classification-tasks
✅
❓
Dissimilar pages: 4, 5, 6, 7, 8
supervised-regression
Slide
Compiles?
Comparison
Note
slides-regression-deepdive-ols
✅
❓
Dissimilar pages: 1, 2, 3
slides-regression-linearmodel-l1
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
slides-regression-linearmodel-l2
✅
❓
Dissimilar pages: 2, 3, 4, 5, 6
slides-regression-nutshell-2
❌
1275: ! LaTeX Error: \mathbf allowed only in math mode. 1275: See the
LaTeX manual or LaTeX Companion for explanation. 1275: Type H \
for immediate help.
a few nutshell chunks seem to be broken (i.e. do not compile).
I still merge to fix the workflow first and then correct theses chunks as we won't lose information from it.
Lecture Slide Status Overview
2023-11-07 10:09:53 CET
This is a reduced version of the full status check rendered for each lecture repository.
It does not link to rendered PDF files and only produces markdown tables, which allows it to be appended to a pull request. It serves as a rough check to ensure that the PR does not cause major breakage.
Status of the lecture_service repo (time in UTC)
Latest commits per lecture (times in UTC)
lecture_i2ml
11 topics with a total of 69 slides
cart
evaluation
forests
knn
ml-basics
ml-philosophy
nested-resampling
neural-networks
supervised-classification
supervised-regression
tuning