Add support for python 3.7 #98
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luizgh
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Sep 21, 2018
luizgh
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having issues with sklearn 0.19 and python 3.7. We should wait #104 to be closed before re-adding python 3.7 on the tests |
Menelau
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…all DES/DCS/static classifiers. * - Moving code to validate the parameters from __init__ to the fit method (sklearn style) * Refactoring DCS classes: Changing class attributes names to the sklearn style. Attributes estimated from the data now have an underscore after its name. * Changes to make the class compatible with the sklearn standards: - Moving code to validate the estimator parameters from the __init__ to the fit method; - Refactoring: Changing class attributes names to the sklearn style. Attributes estimated from the data now have an underscore after its name; - Addition BaseEstimator to the inherited classes for the get_params and set_params methods. * Updating the test routines to the according to the new changes in attribute names and parameter validation scheme * PEP8 formatting * Refactoring according to sklearn guidelines: Changing names of class attributes that are estimated based on the data (on the fit method) * Updating test routines according to the attributes name change * Refactoring according to sklearn guidelines: - Moving code to validate parameters from __init__ to fit - Change in attribute names (using an underscore after the name of attributes estimated from the data) * Updating test routines according to the refactoring on attribute name change and the new method for validating the estimator parameters * Fixing problem with identation * Refactoring: Moving code that validate parameters to the fit method; change ins the attribute names (sklearn standard) and accepting a clustering method as input parameter. * Updated test routines for the DESClustering class according to the new guidelines. * Adding code to verify whether the object passed as the clustering method is part of the sklearn clustering classes. * Updating the test routines that check if the base classifier implements the predict_proba function (Now the check happens inside the fit method) * Moving the _check_predict_proba function to the fit method. * Refactoring: remove old DFP masks * Refactoring * - Changing default value of pool_classifiers to None - Modifying name of random state attribute from rng to random_state * updating the n_classifies_ attribute in the test routines * Changing the name of the attribute rng tp random_state in the integration tests. * Fixing error in the docstring (return value of the method) * Changing check for proba after the fit method; refactoring attribute names according to sklearn guidelines * Adding random_state parameter * Adding random_state parameter * Adding the DFP and IH and random_state hyper-parameters to DESMI class. * changing random_state default value * Adding DESMI to the list of DES techniques * Adding DES Logarithmic * Making DS clustering compatible with sklearn estimators guidelines. * Making DESKNN compatible with sklearn estimators guidelines. * Making KNOP compatible with sklearn estimators guidelines. * Making META-DES compatible with sklearn estimators guidelines. * Making Probabilistic techniques compatible with sklearn estimators guidelines. * Updating test routines according to the new changes in variable names; Removing not used test cases * Updating test routines according to the new variable names; Removing obsolete test functions * Updating name of variables estimated from the data according to the sklearn guidelines * Adding random_state to the clustering definition * Making DESMI class an sklearn estimator * Merging with master branch * Adding sklearn's "check_estimator" tests (#84) * Adding sklearn's "check_estimator" for probabilistic DS methods * Adding test to show #89 is indeed a problem * Adding warning on base class (k bigger than DSEL) #93 * Adding known issue with GridSearch #89 * Fixes #91 * Marking the grid search test to skip (#89) * Adding tests for python 3.7 (#98) * Workaround for travis 3.7 support (#98) * Fix #92 * adding pytest_cache to the list of ignored folders * removing .idea from project * Fixing problem with rng in DCS classes when using "random" or "diff" as selection method (rng during predict/predict_proba). Fixes #88 * Base class for static ensembles * Making SingleBest an sklearn estimator * Making StaticSelection a sklearn estimator * Removing unused imports * Making Oracle class compatible with sklearn * Using sklearn check_array to assert a given array is 2d * Removing commented code lines * Fixing docstring on static ensemble classes; Solving a bug with label encoder for the single best class * Adding license information * automatically convert array to 2d * Updating tests with Oracle technique (using fit to setup label encoder) * updating oracle tests (setup label encoder in the fit method) * updating test; removing check estimator from Oracle since it is not a real classifier * Adding check array to predict. * Enforcing the predictions of the base classifiers are integers. * Fixing random state bug * removing commented lines of code * adding kdn score method * PEP8 formatting; Cleaning commented code. * Adding license information * Adding license information; moving kdn_score function to utils.instance_hardness.py; Adding Label encoder; Refactoring variable names according to sklearn standards * removing unused code * Adding check_estimator test for OLP method * Solving problem with label encoder when no base classifier predicts the correct label * Test routines for the SGH class * Adding predict proba; Checking if the method was fitted before calling predict and predict_proba. * Adding checks to raise an error in regression problems * skipping test while the batch processing version is not implemented * Adding parameter to indicate percentage of data used for DSEL in the training-DSEL split * Updating variable names. * Updating requirements version (sklearn 0.19) due to estimators check * Updating requirements version (sklearn 0.19) due to estimators check * Updating requirements; travis * Print values of N_ and J_ on error * Fixed checks for pct_accuracy * Fix test name * Fixing test
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Update Travis configuration to test for 3.7;
Update setup and documentation to refer that this version is also supported
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