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mkdocs.yml
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site_name: PyTorch Tabular
nav:
- Getting Started:
- Introduction: "index.md"
- Installation: "gs_installation.md"
- Usage: "gs_usage.md"
- Citing the project: "gs_cite.md"
- Tutorials:
- Approaching any Tabular Problem using PyTorch Tabular: "tutorials/01-Approaching Any Tabular Problem with PyTorch Tabular.ipynb"
- Exploring Advanced Features with PyTorch Tabular: "tutorials/02-Exploring Advanced Features with PyTorch Tabular.ipynb"
- Using Model Sweep as an initial Model Selection Tool: "tutorials/13-Using Model Sweep as an initial Model Selection Tool.ipynb"
- "How-to Guides":
- Experiment Tracking:
- Weights and Biases: "tutorials/05-Experiment_Tracking_using_WandB.ipynb"
- Tensorboard: "tutorials/05.1-Experiment_Tracking_using_Tensorboard.ipynb"
- Hyperparameter Tuning:
- Grid Search and Random Search: "tutorials/10-Hyperparameter Tuning.ipynb"
- Search Best Architecture and Hyperparameter: "tutorials/15-Search Best Architecture and Hyperparameter.ipynb"
- Cross Validation and Other Modelling Tricks:
- Cross Validation: "tutorials/09-Cross Validation.ipynb"
- Bagged Predictions: "tutorials/12-Bagged Predictions.ipynb"
- Test Time Augmentation (Experimental): "tutorials/11-Test Time Augmentation.ipynb"
- Explainability / Interpretability:
- SHAP, Deep LIFT and so on through Captum Integration: "tutorials/14-Explainability.ipynb"
- Custom PyTorch Models:
- Implementing New Supervised Architectures: "tutorials/04-Implementing New Architectures.ipynb"
- Model Stacking: "tutorials/16-Model Stacking.ipynb"
- Other Features:
- Using Neural Categorical Embeddings in Scikit-Learn Workflows: "tutorials/03-Neural Embedding in Scikit-Learn Workflows.ipynb"
- Self-Supervised Learning using Denoising Autoencoders: "tutorials/08-Self-Supervised Learning-DAE.ipynb"
- Probabilistic Regression using Mixture Density Networks: "tutorials/07-Probabilistic Regression with MDN.ipynb"
- Others:
- Imbalanced classification: "tutorials/06-Imbalanced Classification.ipynb"
- Concepts:
- Configuration:
- Data: data.md
- Training: training.md
- Optimizer and Learning Rate Scheduler: optimizer.md
- Experiment Tracking: experiment_tracking.md
- Models:
- Supervised Models: models.md
- Self-Supervised Models: ssl_models.md
- Tabular Model:
- TabularModel: tabular_model.md
- Explainability/Interpretablity:
- Explainability/Interpretablity: explainability.md
- Other Features:
- "Other Features": other_features.md
# - FAQ: faq.md
# - API:
- API:
- Core Classes: apidocs_coreclasses.md
- Configuration Classes: apidocs_config.md
- Supervised Models: apidocs_model.md
- Self-Supervised Models: apidocs_ssl.md
- Heads: apidocs_head.md
- Common Modules: apidocs_common.md
- Utilities: apidocs_utils.md
- Contributions:
- Contributing: contributing.md
# - Credits and History:
# - Authors: authors.md
- History: history.md
theme:
name: material
features:
- search.suggest
- navigation.tabs
- navigation.tabs.sticky
# - toc.integrate
- navigation.top
- content.code.copy
palette:
# # Palette toggle for automatic mode
# - media: "(prefers-color-scheme)"
# toggle:
# icon: material/brightness-auto
# name: Switch to light mode
# Palette toggle for light mode
- media: "(prefers-color-scheme: light)"
scheme: default
primary: deep purple
toggle:
icon: material/brightness-7
name: Switch to dark mode
# Palette toggle for dark mode
- media: "(prefers-color-scheme: dark)"
scheme: slate
primary: yellow
toggle:
icon: material/brightness-4
name: Switch to light mode
# primary: deep purple
logo: imgs/pytorch_tabular_logo_small.svg
font:
text: Lato
markdown_extensions:
- admonition
- pymdownx.highlight:
anchor_linenums: true
- pymdownx.inlinehilite
- pymdownx.snippets
- pymdownx.superfences
- toc:
permalink: true
# - pymdownx.inlinehilite
plugins:
- search
- mknotebooks
- mkdocstrings:
handlers:
python:
paths: [src] # search packages in the src folder
rendering:
show_root_heading: yes
merge_init_into_class: yes
docstring_section_style: spacy
repo_url: https://github.com/manujosephv/pytorch_tabular
extra:
social:
- icon: fontawesome/brands/linkedin
link: https://www.linkedin.com/in/manujosephv/
- icon: fontawesome/brands/twitter
link: https://twitter.com/manujosephv
- icon: fontawesome/solid/blog
link: https://deep-and-shallow.com/
- icon: fontawesome/brands/medium
link: https://medium.com/@manujosephv
version:
provider: mike
copyright: Copyright © 2020 Manu Joseph