C E G H I L N P R S T U _

C

computeFitResult(Dataset<?>, ItemClassificationModel) - Method in class edu.columbia.tjw.item.spark.ItemClassifier

computeGradients(Dataset<?>, ItemClassificationModel) - Method in class edu.columbia.tjw.item.spark.ItemClassifier

copy(ParamMap) - Method in class edu.columbia.tjw.item.spark.ItemClassificationModel

copy(ParamMap) - Method in class edu.columbia.tjw.item.spark.ItemClassifier

E

edu.columbia.tjw.item.spark - package edu.columbia.tjw.item.spark

G

generateMaterializedGrid(Dataset<?>) - Method in class edu.columbia.tjw.item.spark.ItemClassifier

getAvailableRegressors() - Method in class edu.columbia.tjw.item.spark.SparkGridAdapter

getCurveRegressors() - Method in class edu.columbia.tjw.item.spark.ItemClassifierSettings

getFactory() - Method in class edu.columbia.tjw.item.spark.ItemClassifierSettings

getFitResult() - Method in class edu.columbia.tjw.item.spark.ItemClassificationModel

getFromStatus() - Method in class edu.columbia.tjw.item.spark.ItemClassifierSettings

getIntercept() - Method in class edu.columbia.tjw.item.spark.ItemClassifierSettings

getMaxParamCount() - Method in class edu.columbia.tjw.item.spark.ItemClassifierSettings

getNextStatus(int) - Method in class edu.columbia.tjw.item.spark.SparkGridAdapter

getNonCurveRegressors() - Method in class edu.columbia.tjw.item.spark.ItemClassifierSettings

getParams() - Method in class edu.columbia.tjw.item.spark.ItemClassificationModel

getRegressorFamily() - Method in class edu.columbia.tjw.item.spark.SparkGridAdapter

getRegressorReader(SimpleRegressor) - Method in class edu.columbia.tjw.item.spark.SparkGridAdapter

getRegressors() - Method in class edu.columbia.tjw.item.spark.ItemClassifierSettings

getSettings() - Method in class edu.columbia.tjw.item.spark.ItemClassificationModel

getSettings() - Method in class edu.columbia.tjw.item.spark.ItemClassifier

getSettings() - Method in class edu.columbia.tjw.item.spark.ItemClassifierSettings

getStatus(int) - Method in class edu.columbia.tjw.item.spark.SparkGridAdapter

getStatusFamily() - Method in class edu.columbia.tjw.item.spark.SparkGridAdapter

H

hasNextStatus(int) - Method in class edu.columbia.tjw.item.spark.SparkGridAdapter

I

ItemClassificationModel - Class in edu.columbia.tjw.item.spark

ItemClassificationModel(FitResult<SimpleStatus, SimpleRegressor, StandardCurveType>, ItemClassifierSettings) - Constructor for class edu.columbia.tjw.item.spark.ItemClassificationModel

ItemClassifier - Class in edu.columbia.tjw.item.spark

ItemClassifier(ItemClassifierSettings) - Constructor for class edu.columbia.tjw.item.spark.ItemClassifier

ItemClassifier(ItemClassifierSettings, ItemParameters<SimpleStatus, SimpleRegressor, StandardCurveType>) - Constructor for class edu.columbia.tjw.item.spark.ItemClassifier

ItemClassifierSettings - Class in edu.columbia.tjw.item.spark

All the collected settings needed in order to run the ItemClassifier.

ItemClassifierSettings(ItemClassifierSettings, ItemSettings) - Constructor for class edu.columbia.tjw.item.spark.ItemClassifierSettings

ItemClassifierSettings(ItemSettings, String, SimpleStatus, int, List<String>, Set<String>) - Constructor for class edu.columbia.tjw.item.spark.ItemClassifierSettings

Use this to construct settings unless you really know what you're doing.

L

load(String) - Static method in class edu.columbia.tjw.item.spark.ItemClassificationModel

load(String) - Static method in class edu.columbia.tjw.item.spark.ItemClassifierSettings

N

numClasses() - Method in class edu.columbia.tjw.item.spark.ItemClassificationModel

P

predictRaw(Vector) - Method in class edu.columbia.tjw.item.spark.ItemClassificationModel

prepareData(Dataset<?>, ItemClassifierSettings, String) - Static method in class edu.columbia.tjw.item.spark.ItemClassifier

prepareSettings(Dataset<?>, String, List<String>, Set<String>, int) - Static method in class edu.columbia.tjw.item.spark.ItemClassifier

prepareSettings(Dataset<?>, String, List<String>, Set<String>, int, ItemSettings) - Static method in class edu.columbia.tjw.item.spark.ItemClassifier

R

raw2probabilityInPlace(Vector) - Method in class edu.columbia.tjw.item.spark.ItemClassificationModel

retrainModel(Dataset<?>, ItemClassificationModel) - Method in class edu.columbia.tjw.item.spark.ItemClassifier

runAnnealing(Dataset<?>, ItemClassificationModel) - Method in class edu.columbia.tjw.item.spark.ItemClassifier

S

save(String) - Method in class edu.columbia.tjw.item.spark.ItemClassificationModel

save(String) - Method in class edu.columbia.tjw.item.spark.ItemClassifierSettings

size() - Method in class edu.columbia.tjw.item.spark.SparkGridAdapter

SparkGridAdapter - Class in edu.columbia.tjw.item.spark

SparkGridAdapter(Dataset<?>, String, String, List<SimpleRegressor>, SimpleStatus, SimpleRegressor) - Constructor for class edu.columbia.tjw.item.spark.SparkGridAdapter

T

train(Dataset<?>) - Method in class edu.columbia.tjw.item.spark.ItemClassifier

U

uid() - Method in class edu.columbia.tjw.item.spark.ItemClassificationModel

uid() - Method in class edu.columbia.tjw.item.spark.ItemClassifier

_

_settings - Variable in class edu.columbia.tjw.item.spark.ItemClassifierSettings

C E G H I L N P R S T U _