=== 1.22.2 / 2020-06-28 * Updating dependencies to avoid poorly maintained libraries. === 1.22.1 / 2020-06-27 * Fixing bug in local models. Decimals in input data are truncated to five digits. === 1.22.0 / 2020-05-4 * Adding External Connectors REST methods. === 1.21.0 / 2020-04-5 * Updating dependencies for compatibility with node 12. === 1.20.7 / 2020-03-13 * Fixing bug handling DNS failures. === 1.20.6 / 2020-02-28 * Fixing bug in local weighted models confidences. === 1.20.5 / 2019-12-13 * Add support for "lazy" Local Anomalies. === 1.20.4 / 2019-07-25 * Fixing local predictors when stored files are tuncated. === 1.20.3 / 2019-07-25 * Fixing local predictors download mechanism. === 1.20.2 / 2019-07-13 * Adding configuration capabilities to handle exceptions and logs. === 1.20.1 / 2019-05-09 * Fixing bug in Local Predictor objects when handling cache response. === 1.20.0 / 2019-05-07 * Adding the ability to use cache-managers from Local Predictors. === 1.19.2 / 2019-04-09 * Fixing bug in local fusion predictions for regressions. === 1.19.1 / 2019-04-08 * Fixing bug in local fusion predictions for classifications. === 1.19.0 / 2019-03-21 * Adding Linear Regression REST methods and Local object. === 1.18.7 / 2019-03-23 * Fixing bug in local deepnet regression predictions (prediction not wrapped in dictionary + crash when using addUnusedFields). === 1.18.6 / 2019-03-19 * Fixing bug in local deepnet regression predictions. === 1.18.5 / 2019-03-14 * Fixing bug in local ensemble with more than 200 models. === 1.18.4 / 2019-03-01 * Adding multidatasets origin argument new syntax === 1.18.3 / 2019-02-26 * Fixing problem in dataset downloads. === 1.18.2 / 2019-01-24 * Fixing problem in local ensemble when downloading more than 20 models. === 1.18.1 / 2019-01-24 * Fixing problem in local objects when using connection object without storage. === 1.18.0 / 2018-11-20 * Adding new PCA resource REST calls. === 1.17.5 / 2018-11-28 * Fixing automatic storage when downloading resources. * Upgrading numjs version to prevent security problems. === 1.17.4 / 2018-11-27 * Fixing bug in LocalEnsemble that prevented using local storage. === 1.17.3 / 2018-09-27 * Fixing local model predictions: adding probability. * Improving docs for the classification local models methods. === 1.17.2 / 2018-07-25 * Fixing Fusion create call to accept a list of objects. === 1.17.1 / 2018-07-10 * Adding LocalFusion predictions. === 1.17.0 / 2018-06-02 * Adding REST methods for OptiML and Fusion resources. === 1.16.3 / 2018-05-04 * Fixing bug in local Association sets prediction. === 1.16.2 / 2018-04-23 * Fixing bug in local objects when retrieving model information from file system. * Fixing bug in LocalDeepnet for datasets with text fields. === 1.16.1 / 2018-03-29 * Fixing bug in local logistic regression predictions when no missing numerics are allowed. === 1.16.0 / 2018-03-01 * Upgrading versions of dependencies and adapting to their changes. === 1.15.1 / 2018-02-23 * Fixing bug in local model and ensemble predictions for regressions in corner case. * Fixing bug in local ensemble storage feature === 1.15.0 / 2018-02-14 * Adding organizations to the bindings. * Changing local predictions to avoid truncating integers in input data. === 1.14.1 / 2018-02-05 * Fixing local predictions for Deepnets with text or item fields. === 1.14.0 / 2018-01-24 * Removing development mode as option in the connections. * Adding local storage for local prediction objects. === 1.13.8 / 2018-01-08 * Adding operatingKind to local model and ensemble predictions. * Fixing local predictions in logistic regressions using operating point. Adapting probability precision to the one in the backend. === 1.13.7 / 2017-12-29 * Changing local predictions with threshold to match the backend. === 1.13.6 / 2017-12-18 * Fixing bug in local logistic regression when an old format was used in the backend. === 1.13.5 / 2017-12-02 * Fixing bug in ensemble local confidences. === 1.13.4 / 2017-11-28 * Fixing bug in local predictions with votes operating point in ensembles. === 1.13.3 / 2017-11-24 * Fixing bug in local predictions with operating point for boosted ensembles and changing the operating point prediction output format for consistency. === 1.13.2 / 2017-11-22 * Adding local deepnet predictions with operating point. === 1.13.1 / 2017-11-16 * Fixing bug in local logistic regression predictions for datasets with datetime fields. === 1.13.0 / 2017-10-20 * Adding local predictions with operating points to model, ensemble and logistic regressions. === 1.12.2 / 2017-10-13 * Fixing bug in local ensemble predictions with models list changes. === 1.12.1 / 2017-10-13 * Fixing bug in local deepnet predictions with missing input data. === 1.12.0 / 2017-10-04 * Adding deepnets REST API methods and local deepnet object to create predictions. === 1.11.0 / 2017-07-20 * Adding time-series REST API methods and local time-series object to create forecasts. === 1.10.2 / 2017-06-06 * Changing Local Boosted Ensemble predictions to match improvements in the API. === 1.10.1 / 2017-04-03 * Bug fixing Local Ensemble predictions for plurality combiner. === 1.10.0 / 2017-03-21 * Adding support for Boosted Trees in Local Ensemble. === 1.9.2 / 2017-03-02 * Fixing bug in Local logistic regression predictions with constant fields. === 1.9.1 / 2017-02-08 * Adding local association set predictions to LocalAssociation. === 1.9.0 / 2016-12-04 * Fixing bug: side-effect change in input data when running local predictions, centroids or anomaly scores. * Adding REST methods for Topic Model, Topic Distribution and Batch Topic Distribution. * Adding local Topic Model object. === 1.8.11 / 2016-10-21 * Fixing bug: local predictions failed when booleans were used as input data. === 1.8.10 / 2016-10-01 * Changing balance_fields default value for Logistic Regressions. === 1.8.9 / 2016-09-15 * Changing bias for Logistic Regressions to a boolean value. * Adding information about unused fields in input data for local predictions. === 1.8.8 / 2016-07-21 * Fixing bug: Local predictions for Logistic Regression with balance_fields and/or normalize didn't match remote predictions. === 1.8.7 / 2016-07-21 * Fixing bug: LocalEnsemble proportional predictions tie breaks differred from the remote version. === 1.8.6 / 2016-07-19 * Fixing bug: LocalModel proportional predictions for weighted models. === 1.8.5 / 2016-07-13 * Fixing bug: LocalEnsemble failed when using an alternative domain. === 1.8.4 / 2016-07-07 * Fixing bug: LocalEnsemble failed when using a explicit connection object. * Changing next predicates for LocalModel object when items or text fields are missing in input data. === 1.8.3 / 2016-06-23 * Allowing evaluations of logistic regressions. === 1.8.2 / 2016-06-14 * Fixing bug in Local Logistic Regression with many field_codings. === 1.8.1 / 2016-06-10 * Adapting Local Logistic Regression to new backend structure: field_codings. === 1.8.0 / 2016-05-19 * Adding REST methods for WhizzML Scripts, Libraries and Executions. === 1.7.3 / 2016-05-17 * Fixing bug in logistic regression predictions for datasets with date-time fields. * Fixing bug in logistic regression predictions for text fields when inputData has only one word and token_mode = all is used. === 1.7.2 / 2016-03-24 * Fixing bug in predictions from missing input data for text and items fields. The prediction now follows one branch instead of returning last prediction. === 1.7.1 / 2016-03-17 * Adding the ability to specify a customized domain in the connection constructor. === 1.7.0 / 2016-01-14 * Adapting Local predictive objects (LocalModel, LocalCluster, etc.) to new items field type. * Adding the missingNumerics attribute to local logistic regression and adapting code to handle missing numerics. * Adding LocalAssociation object to handle Association Rules found in association discovery. === 1.6.0 / 2015-11-03 * Adding REST methods and local object for new Logistic Regression resource. === 1.5.1 / 2015-10-19 * Fixing bug in Prediction objects when explicit credentials were used via a BigML connection. * Adding next predicates to local model predictions. === 1.5.0 / 2015-07-29 * Adding REST methods for Correlation object calls. * Adding REST methods for StatisticalTest object calls. === 1.4.1 / 2015-06-30 * Adding method to LocalAnomaly to get the filter that excludes or includes the top anomalies in the dataset. === 1.4.0 / 2015-02-19 * Adding the Samples object to support samples' REST calls. === 1.3.1 / 2015-01-28 * Fixing bug: centroids predictions failed for local clusters with summary fields. === 1.3.0 / 2015-01-21 * Adding projects REST API methods. === 1.2.1 / 2015-01-09 * Adding median to the local model prediction options. === 1.2.0 / 2014-10-08 * Adding Batch Anomaly Scores and local Anomaly detector. === 1.1.1 / 2014-09-25 * Fixing bug: local predictions with models that had missing splits operators failed or had wrong limit cases. === 1.1.0 / 2014-09-12 * Adding the anomaly detector and anomaly score REST API methods. === 1.0.0 / 2014-08-29 * Adding new missing operators to the local Model predicates. Adapting the local predict methods. === 0.12.0 / 2014-08-14 * Adding proportional missing strategy to ensembles * Fixing bug: local predictions did not round float values when given as integers and that generated mismatches in predictions * Fixing bug: Error for regression models with proportional missing strategy were not returned for 1-instance nodes === 0.11.2 / 2014-07-23 * Adding the ability to build a local model from a JSON file containing the model structure. === 0.11.1 / 2014-07-11 * Fixing bug: wrong error data when using proportional missing strategy for some input data === 0.11.0 / 2014-07-09 * Adding proportional missing strategy to local model predictions === 0.10.0 / 2014-07-07 * Adding download method to export datasets' contents as CSV === 0.9.3 / 2014-06-29 * Fixing bug: local clusters' centroid method gave wrong results for text fields and case-sensitive content * Checking node.js environment in local objects methods and related modules === 0.9.2 / 2014-06-13 * Fixing bug: local clusters' centroid method crashed when a text field was not present in the input data === 0.9.1 / 2014-06-07 * Adding dataset creation from cluster and centroid id === 0.9.0 / 2014-06-05 * Adding local clusters to predict centroids locally === 0.8.0 / 2014-05-16 * Adding cluster, centroid and batch centroid REST API methods * Adding support for shared resources * Fixing bug: error array was growing in each function call === 0.7.0 / 2014-04-23 * Adding new logging option * Adding retries to REST API methods * Allowing lists of datasets as argument for dataset, model and ensemble creation calls === 0.6.2 / 2014-04-01 * Removes validation for input data in remote prediction create function. This is not needed anymore since the backend can accept both ids and field names as input data keys === 0.6.1 / 2014-03-21 * Fixing bug in requestResponse when remote service is not available. Uncaught exception. === 0.6.0 / 2014-02-20 * Adding environment variables for basic logging configuration === 0.5.0 / 2014-01-27 * New resource in API: batch predictions * Fixing error in local model when retrieving all the model fields. Predictions for datasets with many features could be erroneous * Fixing wrong syntax error in error string === 0.4.0 / 2013-11-20 * New prediction combination method for ensembles: threshold * Fixing error in ensemble's predictions === 0.3.3 / 2013-10-26 * Fixing error in confidence weighted regression predictions === 0.3.2 / 2013-09-27 * Fixing typo in objectiveField attribute of Tree.js === 0.3.1 / 2013-09-27 * Fixing error in variable declaration * Fixing error in text analysis local predictions for token_mode='all' === 0.3.0 / 2013-09-26 * Adding text analysis to local predictions === 0.2.0 / 2013-08-03 * Allowing input data for predictions to be keyed by id === 0.1.0 / 2013-07-04 * Changing environment variable for customized installs * Using only_mode=true to retrieve all the model needed fields * Fixing docs typos === 0.0.1 / 2013-06-15 * First version of the node.js bindings