Ebnt 157 predict proba #25
Merged
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
i-a-andrianov
force-pushed
the
EBNT-157-predict_proba
branch
2 times, most recently
from
557af63
to
b7ea0a3
Compare
i-a-andrianov
force-pushed
the
EBNT-157-predict_proba
branch
from
b7ea0a3
to
459728e
Compare
mike0sv
previously approved these changes
Dec 23, 2019
i-a-andrianov
force-pushed
the
EBNT-157-predict_proba
branch
from
8afc9f4
to
070bf35
Compare
mike0sv
approved these changes
Dec 29, 2019
mike0sv
added a commit
that referenced
this pull request
Jan 10, 2020
* Ebnt 142 warnings (#16) * EBNT-142 eliminate Tensorflow deprecation warnings * EBNT-142 replace Tensorflow with CatBoost in requirements_tests * EBNT-142 eliminate fake warnings from check_pypi_module tests * EBNT-142 eliminate version incompatibility warnings from client tests * EBNT-142 tests and fixes for (multi-)model providers/loaders * fix for coveralls badge * EBNT-142 minor review improvement * EBNT-142 move TF warnings workarounds from ebonite to ebonite.ext.tensorflow * changelog v0.3.2 * Bump version: 0.3.1 → 0.3.2 * EBNT-142 move TF warnings workarounds from main code to tests (#18) * Ebnt 146 docs (#20) * EBNT-146 docs * EBNT-146 fix isort * EBNT-146 fix import * EBNT-146 fix import * Ebnt 177 which docker (#22) * update docs (#21) * Ebnt 142 warnings (#16) * EBNT-142 eliminate Tensorflow deprecation warnings * EBNT-142 replace Tensorflow with CatBoost in requirements_tests * EBNT-142 eliminate fake warnings from check_pypi_module tests * EBNT-142 eliminate version incompatibility warnings from client tests * EBNT-142 tests and fixes for (multi-)model providers/loaders * fix for coveralls badge * EBNT-142 minor review improvement * EBNT-142 move TF warnings workarounds from ebonite to ebonite.ext.tensorflow * changelog v0.3.2 * Bump version: 0.3.1 → 0.3.2 * EBNT-142 move TF warnings workarounds from main code to tests (#18) * Ebnt 146 docs (#20) * EBNT-146 docs * EBNT-146 fix isort * EBNT-146 fix import * EBNT-146 fix import * EBNT-177 Eliminate "which docker" check failing on Windows hosts * EBNT-177 fix for coverage 5.0.0 * EBNT-177 freeze coverage version as new major release is incompatible with coveralls * Ebnt 178 flask redirect (#23) * update docs (#21) * Ebnt 142 warnings (#16) * EBNT-142 eliminate Tensorflow deprecation warnings * EBNT-142 replace Tensorflow with CatBoost in requirements_tests * EBNT-142 eliminate fake warnings from check_pypi_module tests * EBNT-142 eliminate version incompatibility warnings from client tests * EBNT-142 tests and fixes for (multi-)model providers/loaders * fix for coveralls badge * EBNT-142 minor review improvement * EBNT-142 move TF warnings workarounds from ebonite to ebonite.ext.tensorflow * changelog v0.3.2 * Bump version: 0.3.1 → 0.3.2 * EBNT-142 move TF warnings workarounds from main code to tests (#18) * Ebnt 146 docs (#20) * EBNT-146 docs * EBNT-146 fix isort * EBNT-146 fix import * EBNT-146 fix import * EBNT-177 Eliminate "which docker" check failing on Windows hosts * EBNT-177 fix for coverage 5.0.0 * EBNT-177 freeze coverage version as new major release is incompatible with coveralls * EBNT-178 redirect from / to Swagger API documentation in Flask * EBNT-178 upgrade pyjackson * Ebnt 157 predict proba (#25) * EBNT-157 support for predict_proba in runtime * EBNT-157 support for predict_proba in catboost * EBNT-157 support for predict_proba in sklearn * EBNT-157 predict_proba in examples * EBNT-157 freeze scipy to 1.3.3 as 1.4.0 crashes pytest * EBNT-157 Support for custom methods in model wrappers with predict_proba PoC * EBNT-157 review fixes * Ebnt 180 numpy shapes (#26) * EBNT-180 First dimension of numpy arrays / torch tensors (batch size) should not be fixed in schemas * EBNT-181 HTTP client/server error handling via dataset type-driven validation (#27) * Ebnt 187 torch jit (#28) * EBNT-181 HTTP client/server error handling via dataset type-driven validation * EBNT-187 Support for Pytorch JIT (TorchScript) models * Ebnt 179 188 better documentation (#29) * EBNT-181 HTTP client/server error handling via dataset type-driven validation * EBNT-187 Support for Pytorch JIT (TorchScript) models * EBNT-179 EBNT-188 improve readme * update scikit-learn to 0.22 to prevent logreg solver warnings * prevent coverage 5.x installation in coveralls tox block * Bump tensorflow from 1.14.0 to 1.15.0 (#24) * update docs (#21) * Ebnt 142 warnings (#16) * EBNT-142 eliminate Tensorflow deprecation warnings * EBNT-142 replace Tensorflow with CatBoost in requirements_tests * EBNT-142 eliminate fake warnings from check_pypi_module tests * EBNT-142 eliminate version incompatibility warnings from client tests * EBNT-142 tests and fixes for (multi-)model providers/loaders * fix for coveralls badge * EBNT-142 minor review improvement * EBNT-142 move TF warnings workarounds from ebonite to ebonite.ext.tensorflow * changelog v0.3.2 * Bump version: 0.3.1 → 0.3.2 * EBNT-142 move TF warnings workarounds from main code to tests (#18) * Ebnt 146 docs (#20) * EBNT-146 docs * EBNT-146 fix isort * EBNT-146 fix import * EBNT-146 fix import * Bump tensorflow from 1.14.0 to 1.15.0 Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.14.0 to 1.15.0. - [Release notes](https://github.com/tensorflow/tensorflow/releases) - [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md) - [Commits](tensorflow/tensorflow@v1.14.0...v1.15.0) Signed-off-by: dependabot[bot] <support@github.com> * fix scipy==1.3.3 Co-authored-by: Mikhail Sveshnikov <mike0sv@gmail.com> * Fix/dataset type tests (#30) * add some DatasetType tests * remove redundant * fix isort * add changelog Co-authored-by: Ivan Andrianov <53702184+i-a-andrianov@users.noreply.github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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.
Support for predict_proba method in ML model