Tsvd fix #3
Merged
Tsvd fix #3
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
* Fix cubic spline when x isn't sorted * Format
…lixir-nx#222) * Add other non-encoding preprocessing utilities as separate modules * Delete test/scholar/preprocessing/normalizer_test.exs * Delete lib/scholar/preprocessing/normalizer.ex * Format * Remove redundant module attribute
* Introduce encoders in separate modules * Update preprocessing.ex * Add module docs
* Add Normalizer * Change preprocessing.ex * Update moduledoc
* Add draft of NNDescent * Working version * Apply improvements * Format * Add documentation, unify variables, etc * Format * Remove redundant comma * Remove unused comment * Apply suggestions from feedback * Pass key as an argument * Update paper in documentation * Add quering * Improve doctest * Make num_neighbors more functional * Add Trimap * Update lib/scholar/manifold/trimap.ex Co-authored-by: José Valim <[email protected]> * Add docs and tests * Apply improvements * Resolve after merge * increase temporarily size of stack --------- Co-authored-by: José Valim <[email protected]>
* Add priority queue * Apply changes to NNDescent * Apply Suggestions form code review * Format * Remove redundant space * Raise when tree_init and non-euclidean metric * Update lib/scholar/neighbors/nn_descent.ex Co-authored-by: Krsto Proroković <[email protected]> * Update lib/scholar/neighbors/nn_descent.ex Co-authored-by: José Valim <[email protected]> * Decrease tolerance * Ensure that all initial nearest neighbors are initialized and fix tests according to the implemented changes --------- Co-authored-by: Krsto Proroković <[email protected]> Co-authored-by: José Valim <[email protected]>
* update multinomial naive bayes * remove Nx.Type.merge/2 --------- Co-authored-by: Krsto Proroković <[email protected]>
* Added ndcg metric * Update lib/scholar/metrics/ranking.ex Co-authored-by: José Valim <[email protected]> * Update lib/scholar/metrics/ranking.ex Co-authored-by: José Valim <[email protected]> * Update lib/scholar/metrics/ranking.ex Co-authored-by: Krsto Proroković <[email protected]> * Update lib/scholar/metrics/ranking.ex Co-authored-by: Mateusz Sluszniak <[email protected]> * Update lib/scholar/metrics/ranking.ex --------- Co-authored-by: José Valim <[email protected]> Co-authored-by: Krsto Proroković <[email protected]> Co-authored-by: Mateusz Sluszniak <[email protected]>
* add BruteKNN * update docs and tests * mix format * move get_batches inside BruteKNN * raise error when k > n --------- Co-authored-by: Krsto Proroković <[email protected]>
* Added d2_absolute_error_score and d2_pinball_score * Updateted multioutput desc * run mix format * run mix format * Update lib/scholar/metrics/regression.ex Co-authored-by: Mateusz Sluszniak <[email protected]> * Removed repeating code --------- Co-authored-by: Mateusz Sluszniak <[email protected]>
* Make nn algorithm configurable * Update lib/scholar/manifold/trimap.ex Co-authored-by: José Valim <[email protected]> * Make tests passing * Add :auto option for knn_algo auto detection --------- Co-authored-by: José Valim <[email protected]>
* Add manifold learning algorithm notebook and corrections to trimap * Persistent outputs * Remove tests with unsupported metrics * Apply suggestions from code review Co-authored-by: Krsto Proroković <[email protected]> * Apply suggestions from code review * Format * Change tests to well define states * Update notebooks/manifold_learning.livemd --------- Co-authored-by: Krsto Proroković <[email protected]>
Changed Trimap to t-SNE next to the plot of t-SNE embeddings.
* Add partial_fit/2 and incremental_fit/2 to Scholar.Decomposition.PCA * Update fit_transform/2 docstring. * mix.lock * Fix incremental_fit/2 docstring --------- Co-authored-by: Krsto Proroković <[email protected]>
* user dot/4 on set_intercept
* use dot/4 on linear regression predict
* add column target tests
* better name for test
* working on svm
* svm supports multioutput
* check col and regular models are the same. invalid y raises
* move y shape validation to linear_helper function
* add linear helper function for shape validation
* formatter
* clean up test
* modify validate_y_shape for isotonic regression
* add y shape validation and test to isotonic regression
* formatter
* decouple validation from flattening helper to handle multioutput options
* flatten linear input. no longer matches sklearn
* add prediction test
* linear regression always returns {n_samples} vector
* formatter
* bayesian ridge fixed
* remove wip tags
* removing wip tags
* refactor test data
* wrote polynomial regression test
* wrote tests for logistic and ridge regression
* logistic and ridge test pass
* Update lib/scholar/linear/linear_helpers.ex
Co-authored-by: José Valim <[email protected]>
* Update lib/scholar/linear/linear_helpers.ex
Co-authored-by: José Valim <[email protected]>
* fixed valid_colum_vector? name
* fixed error messages
* updated docs
* proper formatting of predict docs
* ran formatter
---------
Co-authored-by: José Valim <[email protected]>
…gression (elixir-nx#293) * Update * mix format * Remove Scholar.Preprocessing import from Scholar.Metrics.Classification * mix format * emove commented out code from NaiveBayes.Complement * update docstrings --------- Co-authored-by: Krsto Proroković <[email protected]>
Co-authored-by: Krsto Proroković <[email protected]>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.