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site_name: DynaML User Guide
site_dir: 'site'
site_description: 'User guide and documentation for the DynaML machine learning library and API'
site_author: 'Mandar Chandorkar'
site_url: 'https://transcendent-ai-labs.github.io/DynaML'
copyright: 'Copyright © 2015 Mandar Chandorkar'
docs_dir: 'docs-old'
nav:
- 'DynaML': index.md
- 'Getting DynaML':
- 'Installation': installation/installation.md
- 'Import': installation/include.md
- 'Supported Features': supported_features.md
- 'Structure': structure.md
- Releases:
- 'v1.5.x':
- 'v1.5.3': 'releases/mydoc_release_notes_153.md'
- 'v1.5.2': 'releases/mydoc_release_notes_152.md'
- 'v1.5.1': 'releases/mydoc_release_notes_151.md'
- 'v1.5': 'releases/mydoc_release_notes_15.md'
- 'v1.4.x':
- 'v1.4.3': 'releases/mydoc_release_notes_143.md'
- 'v1.4.2': 'releases/mydoc_release_notes_142.md'
- 'v1.4.1': 'releases/mydoc_release_notes_141.md'
- 'v1.4': 'releases/mydoc_release_notes_14.md'
- Scaladoc:
- v1.5.x:
- v1.5.3:
- dynaml-core: 'scaladoc/v1.5.3/core.md'
- dynaml-pipes: 'scaladoc/v1.5.3/pipes.md'
- dynaml-repl: 'scaladoc/v1.5.3/repl.md'
- dynaml-examples: 'scaladoc/v1.5.3/examples.md'
- v1.5.2:
- dynaml-core: 'scaladoc/v1.5.2/core.md'
- dynaml-pipes: 'scaladoc/v1.5.2/pipes.md'
- dynaml-repl: 'scaladoc/v1.5.2/repl.md'
- dynaml-examples: 'scaladoc/v1.5.2/examples.md'
- v1.5.1:
- dynaml-core: 'scaladoc/v1.5.1/core.md'
- dynaml-pipes: 'scaladoc/v1.5.1/pipes.md'
- dynaml-examples: 'scaladoc/v1.5.1/examples.md'
- v1.5:
- dynaml-core: 'scaladoc/v1.5/core.md'
- dynaml-pipes: 'scaladoc/v1.5/pipes.md'
- dynaml-examples: 'scaladoc/v1.5/examples.md'
- v1.4.x:
- v1.4.3:
- dynaml-core: 'scaladoc/v1.4.3/core.md'
- dynaml-pipes: 'scaladoc/v1.4.3/pipes.md'
- dynaml-examples: 'scaladoc/v1.4.3/examples.md'
- v1.4.2:
- dynaml-core: 'scaladoc/v1.4.2/core.md'
- dynaml-pipes: 'scaladoc/v1.4.2/pipes.md'
- dynaml-examples: 'scaladoc/v1.4.2/examples.md'
- v1.4.1:
- dynaml-core: 'scaladoc/v1.4.1/core.md'
- dynaml-pipes: 'scaladoc/v1.4.1/pipes.md'
- dynaml-examples: 'scaladoc/v1.4.1/examples.md'
- v1.4:
- dynaml-core: 'scaladoc/v1.4/core.md'
- dynaml-pipes: 'scaladoc/v1.4/pipes.md'
- dynaml-examples: 'scaladoc/v1.4/examples.md'
- 'User Guide':
- 'Core':
- Models:
- Model Hierarchy: 'core/core_model_hierarchy.md'
- Linear Models:
- Generalized Linear Models: 'core/core_glm.md'
- Generalized Least Squares: 'core/core_gls.md'
- Stochastic Processes:
- Gaussian Processes: 'core/core_gp.md'
- Extended Skew Gaussian Processes: 'core/core_esgp.md'
- Students T Processes: 'core/core_stp.md'
- Multi-output Matrix T Process: 'core/core_multi_output_t.md'
- Neural Networks:
- Feed Forward Networks: 'core/core_ffn_new.md'
- Neural Stack API: 'core/core_ann_new.md'
- Old Neural Net API: 'core/core_ann.md'
- Least Squares SVM: 'core/core_lssvm.md'
- Tensorflow:
- Introduction: 'core/core_dynaml_tf.md'
- Tensorflow Pointer: 'core/core_dtf.md'
- Building Blocks: 'core/core_dtflearn.md'
- Data Set API: 'core/core_dtfdata.md'
#- Utilities: 'core/core_tf_misc.md'
- Kernels:
- Kernel API: 'core/core_kernels.md'
- Stationary Kernels: 'core/core_kernel_stat.md'
- Non Stationary Kernels: 'core/core_kernel_nonstat.md'
- Automatic Feature Extraction: 'core/core_kernel_nystrom.md'
- Algebra:
- Blocked Algebraic Objects: 'core/partitioned_objects.md'
- Block Vectors: 'core/partitioned_vectors.md'
- Block Matrices: 'core/partitioned_matrices.md'
- Block Algebra Utilities: 'core/partitioned_alg_utils.md'
- Probability:
- Random Variables: 'core/core_prob_randomvar.md'
- Operations on Random Variables: 'core/core_prob_operations.md'
- Probability Distributions: 'core/core_prob_dist.md'
- 'Optimizers & Solvers':
- 'Convex': 'core/core_opt_convex.md'
- 'Global': 'core/core_opt_global.md'
- Graphics: 'core/core_graphics.md'
- Performance Evaluation: 'core/core_model_evaluation.md'
- 'Pipes':
- 'DynaML Pipes': 'pipes/pipes.md'
- 'Pipes API': 'pipes/pipes_api.md'
- 'Scalers & Encoders': 'pipes/pipes_scalers_encoders.md'
- 'Model Pipes': 'pipes/model_pipes.md'
- 'DynaML Pipes Library':
- 'String & File Processing': 'pipes/file_processing.md'
- 'Feature Processing': 'pipes/feature_processing.md'
- 'Time Series': 'pipes/pipes_time_series.md'
- 'Workflows on Models': 'pipes/pipes_models.md'
- Miscellaneuos: 'pipes/pipes_misc.md'
- 'Pipes Example': 'pipes/pipes_library.md'
- REPL Examples:
- Examples Module: 'repl-examples/p2_examples.md'
- Boston Housing: 'repl-examples/p2_boston_housing.md'
- Wine Quality: 'repl-examples/p2_winequality_logistic.md'
- Pont-sur-Sambre Power Plant: 'repl-examples/p2_lssvm_powerplant.md'
- 'Misc. Utilities':
- Data Transforms: 'utils/utils_data_transforms.md'
- '`utils` object': 'utils/package.md'
- 'License': 'license.md'
- 'About Us': 'about.md'
- DynaML Blog:
- State of DynaML 2016: 'blog/2016-12-11-dynaml-new-features.md'
- Resources for Beginners: 'blog/2016-12-08-getting-started-ml.md'
- Contributing: 'Contributing.md'
- Code of Conduct: 'code_of_conduct.md'
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repo_name: 'transcendent-ai-labs/DynaML'
repo_url: 'https://github.com/transcendent-ai-labs/DynaML'
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google_analytics:
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extra:
disqus: 'dynaml'
social:
- type: 'github'
link: 'https://github.com/transcendent-ai-labs'
- type: 'twitter'
link: 'https://twitter.com/dyna_ml'
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