stem/CS/Languages/Python.md
Andy Pack abbd7bba68 vault backup: 2023-12-22 16:39:03
Affected files:
.obsidian/community-plugins.json
.obsidian/graph.json
.obsidian/plugins/calendar/data.json
.obsidian/plugins/calendar/main.js
.obsidian/plugins/calendar/manifest.json
.obsidian/plugins/dataview/main.js
.obsidian/plugins/dataview/manifest.json
.obsidian/plugins/dataview/styles.css
.obsidian/workspace.json
Events/Cardiff.md
Events/November 27th Week.md
Events/🪣🪣🪣.md
Food/From Aldi.md
Food/Meal Plans/Meals - 2023-06-18.md
Food/Meal Plans/Meals - 2023-06-24.md
Food/Meal Plans/Meals - 2023-07-30.md
Food/Meal Plans/Meals - 2023-08-06.md
Food/Meal Plans/Meals - 2023-08-13.md
Food/Meal Plans/Meals - 2023-08-20.md
Food/Meal Plans/Meals - 2023-08-27.md
Food/Meal Plans/Meals - 2023-09-03.md
Food/Meal Plans/Meals - 2023-09-10.md
Food/Meal Plans/Meals - 2023-09-17.md
Food/Meal Plans/Meals - 2023-09-25.md
Food/Meal Plans/Meals - 2023-10-02.md
Food/Meal Plans/Meals - 2023-10-14.md
Food/Meal Plans/Meals - 2023-10-22.md
Food/Meal Plans/Meals - 2023-10-30.md
Food/Meal Plans/Meals - 2023-11-05.md
Food/Meal Plans/Meals - 2023-11-14.md
Food/Meal Plans/Meals - 2023-11-20.md
Food/Meal Plans/Meals - 2023-12-03.md
Food/Meal Plans/Meals - 2023-12-11.md
Food/Meal Plans/Meals - 2023-12-16.md
Food/Meals.md
Food/Sauces.md
Lab/DNS.md
Lab/Deleted Packages.md
Lab/Domains.md
Lab/Ebook Laundering.md
Lab/Home.md
Lab/Linux/Alpine.md
Lab/Linux/KDE.md
Lab/Photo Migration.md
Lab/VPN Servers.md
Languages/Arabic.md
Languages/Spanish/Spanish.md
Languages/Spanish/Tenses.md
Languages/Spanish/Verbs.md
Money/Me/Accounts.md
Money/Me/Car.md
Money/Me/Home.md
Money/Me/Income.md
Money/Me/Monthly/23-04.md
Money/Me/Monthly/23-05.md
Money/Me/Monthly/23-06.md
Money/Me/Monthly/23-07.md
Money/Me/Monthly/23-08.md
Money/Me/Monthly/23-09.md
Money/Me/Monthly/23-10.md
Money/Me/Monthly/23-11.md
Money/Me/Monthly/23-12.md
Money/Me/Subs.md
STEM/AI/Classification/Classification.md
STEM/AI/Classification/Decision Trees.md
STEM/AI/Classification/Gradient Boosting Machine.md
STEM/AI/Classification/Logistic Regression.md
STEM/AI/Classification/Random Forest.md
STEM/AI/Classification/Supervised/SVM.md
STEM/AI/Classification/Supervised/Supervised.md
STEM/AI/Ethics.md
STEM/AI/Kalman Filter.md
STEM/AI/Learning.md
STEM/AI/Literature.md
STEM/AI/Neural Networks/Activation Functions.md
STEM/AI/Neural Networks/Architectures.md
STEM/AI/Neural Networks/CNN/CNN.md
STEM/AI/Neural Networks/CNN/Convolutional Layer.md
STEM/AI/Neural Networks/CNN/Examples.md
STEM/AI/Neural Networks/CNN/FCN/FCN.md
STEM/AI/Neural Networks/CNN/FCN/FlowNet.md
STEM/AI/Neural Networks/CNN/FCN/Highway Networks.md
STEM/AI/Neural Networks/CNN/FCN/ResNet.md
STEM/AI/Neural Networks/CNN/FCN/Skip Connections.md
STEM/AI/Neural Networks/CNN/FCN/Super-Resolution.md
STEM/AI/Neural Networks/CNN/GAN/CycleGAN.md
STEM/AI/Neural Networks/CNN/GAN/DC-GAN.md
STEM/AI/Neural Networks/CNN/GAN/GAN.md
STEM/AI/Neural Networks/CNN/GAN/StackGAN.md
STEM/AI/Neural Networks/CNN/GAN/cGAN.md
STEM/AI/Neural Networks/CNN/Inception Layer.md
STEM/AI/Neural Networks/CNN/Interpretation.md
STEM/AI/Neural Networks/CNN/Max Pooling.md
STEM/AI/Neural Networks/CNN/Normalisation.md
STEM/AI/Neural Networks/CNN/UpConv.md
STEM/AI/Neural Networks/CV/Data Manipulations.md
STEM/AI/Neural Networks/CV/Datasets.md
STEM/AI/Neural Networks/CV/Filters.md
STEM/AI/Neural Networks/CV/Layer Structure.md
STEM/AI/Neural Networks/CV/Visual Search/Visual Search.md
STEM/AI/Neural Networks/Deep Learning.md
STEM/AI/Neural Networks/Learning/Boltzmann.md
STEM/AI/Neural Networks/Learning/Competitive Learning.md
STEM/AI/Neural Networks/Learning/Credit-Assignment Problem.md
STEM/AI/Neural Networks/Learning/Hebbian.md
STEM/AI/Neural Networks/Learning/Learning.md
STEM/AI/Neural Networks/Learning/Tasks.md
STEM/AI/Neural Networks/MLP/Back-Propagation.md
STEM/AI/Neural Networks/MLP/Decision Boundary.md
STEM/AI/Neural Networks/MLP/MLP.md
STEM/AI/Neural Networks/Neural Networks.md
STEM/AI/Neural Networks/Properties+Capabilities.md
STEM/AI/Neural Networks/RNN/Autoencoder.md
STEM/AI/Neural Networks/RNN/Deep Image Prior.md
STEM/AI/Neural Networks/RNN/LSTM.md
STEM/AI/Neural Networks/RNN/MoCo.md
STEM/AI/Neural Networks/RNN/RNN.md
STEM/AI/Neural Networks/RNN/Representation Learning.md
STEM/AI/Neural Networks/RNN/SimCLR.md
STEM/AI/Neural Networks/RNN/VQA.md
STEM/AI/Neural Networks/SLP/Least Mean Square.md
STEM/AI/Neural Networks/SLP/Perceptron Convergence.md
STEM/AI/Neural Networks/SLP/SLP.md
STEM/AI/Neural Networks/Training.md
STEM/AI/Neural Networks/Transformers/Attention.md
STEM/AI/Neural Networks/Transformers/LLM.md
STEM/AI/Neural Networks/Transformers/Transformers.md
STEM/AI/Neural Networks/Weight Init.md
STEM/AI/Pattern Matching/Dynamic Time Warping.md
STEM/AI/Pattern Matching/Markov/Markov.md
STEM/AI/Pattern Matching/Pattern Matching.md
STEM/AI/Problem Solving.md
STEM/AI/Properties.md
STEM/AI/Searching/Informed.md
STEM/AI/Searching/Searching.md
STEM/AI/Searching/Uninformed.md
STEM/CS/ABI.md
STEM/CS/Calling Conventions.md
STEM/CS/ISA.md
STEM/CS/Languages/Assembly.md
STEM/CS/Languages/Javascript.md
STEM/CS/Languages/Python.md
STEM/CS/Languages/Rust.md
STEM/CS/Quantum.md
STEM/CS/Resources.md
STEM/IOT/Networking/Networking.md
STEM/Light.md
STEM/Quantum/Confinement.md
STEM/Quantum/Orbitals.md
STEM/Quantum/Schrödinger.md
STEM/Quantum/Standard Model.md
STEM/Quantum/Wave Function.md
STEM/Speech/Linguistics/Consonants.md
STEM/Speech/Linguistics/Language Structure.md
STEM/Speech/Linguistics/Linguistics.md
STEM/Speech/Linguistics/Terms.md
STEM/Speech/Linguistics/Vowels.md
STEM/Speech/Literature.md
STEM/Speech/NLP/NLP.md
STEM/Speech/NLP/Recognition.md
STEM/Speech/Speech Processing/Applications.md
Work/Possible Tasks.md
Work/Tech.md
2023-12-22 16:39:03 +00:00

1.7 KiB

pip freeze | %{$_.split('==')[0]} | %{pip install --upgrade $_}

From <https://www.activestate.com/resources/quick-reads/how-to-update-all-python-packages/>

poetry cheat sheet

Twisted #net

Network engine

numpy scipy jupyterlab matplotlib pandas scikit-learn

Nuitka

Compiler

Plotly

Publication-quality Graphs

NLTK #ai NLP

If you are not getting good results, you should first check that you are using the right classification algorithm (is your data well fit to be classified by a linear SVM?) and that you have enough training data. Practically, that means you might consider visualizing your dataset through PCA or t-SNE to see how "clustered" your classes are, and checking how your classification metrics evolve with the amount of data your classifier is given.

If you then confirm that investing in tweaking your linear SVM is the right way to approach your problem, you can look at modifying the class weights. Note then that what you suggest as weights is probably the opposite of what you want to do: you are giving more weights to less frequent classes, marginalizing them further - said differently, you typically want to use weights that are inversely proportional to class frequencies. You can calculate these manually, or you can let sklearn do it automatically for you by specificing class_weight='balanced'.

From <https://stats.stackexchange.com/questions/254779/optimal-class-weight-for-svc>