| Modifier and Type | Method and Description |
|---|---|
ItemClassificationModel |
ItemClassificationModel.copy(org.apache.spark.ml.param.ParamMap arg0) |
static ItemClassificationModel |
ItemClassificationModel.load(String filename_) |
ItemClassificationModel |
ItemClassifier.retrainModel(org.apache.spark.sql.Dataset<?> data_,
ItemClassificationModel prevModel_) |
ItemClassificationModel |
ItemClassifier.runAnnealing(org.apache.spark.sql.Dataset<?> data_,
ItemClassificationModel prevModel_) |
ItemClassificationModel |
ItemClassifier.train(org.apache.spark.sql.Dataset<?> data_) |
| Modifier and Type | Method and Description |
|---|---|
edu.columbia.tjw.item.fit.FitResult<edu.columbia.tjw.item.base.SimpleStatus,edu.columbia.tjw.item.base.SimpleRegressor,edu.columbia.tjw.item.base.StandardCurveType> |
ItemClassifier.computeFitResult(org.apache.spark.sql.Dataset<?> data_,
ItemClassificationModel model_) |
edu.columbia.tjw.item.fit.GradientResult |
ItemClassifier.computeGradients(org.apache.spark.sql.Dataset<?> data_,
ItemClassificationModel model_) |
ItemClassificationModel |
ItemClassifier.retrainModel(org.apache.spark.sql.Dataset<?> data_,
ItemClassificationModel prevModel_) |
ItemClassificationModel |
ItemClassifier.runAnnealing(org.apache.spark.sql.Dataset<?> data_,
ItemClassificationModel prevModel_) |
Copyright © 2020. All rights reserved.