| Package | Description |
|---|---|
| com.github.chen0040.glm.data | |
| com.github.chen0040.glm.metrics | |
| com.github.chen0040.glm.solvers | |
| com.github.chen0040.glm.utils |
| Modifier and Type | Class and Description |
|---|---|
class |
BasicDataFrame
Created by xschen on 1/5/2017.
|
| Modifier and Type | Method and Description |
|---|---|
DataFrame |
DataQuery.DataFrameQueryBuilder.build() |
DataFrame |
Sampler.DataSampleBuilder.sample(DataFrame dataFrame,
int count) |
DataFrame |
DataFrame.shuffle() |
DataFrame |
BasicDataFrame.shuffle() |
| Modifier and Type | Method and Description |
|---|---|
TupleTwo<DataFrame,DataFrame> |
DataFrame.split(double ratio) |
TupleTwo<DataFrame,DataFrame> |
DataFrame.split(double ratio) |
TupleTwo<DataFrame,DataFrame> |
BasicDataFrame.split(double ratio) |
TupleTwo<DataFrame,DataFrame> |
BasicDataFrame.split(double ratio) |
| Modifier and Type | Method and Description |
|---|---|
DataFrame |
Sampler.DataSampleBuilder.sample(DataFrame dataFrame,
int count) |
| Modifier and Type | Method and Description |
|---|---|
static double |
GlmLikelihoodFunction.getLikelihood(GlmDistributionFamily distribution,
DataFrame data,
double[] beta_hat) |
| Modifier and Type | Method and Description |
|---|---|
protected List<DataFrame> |
OneVsOneGlmClassifier.remerge(List<DataFrame> batches,
int k) |
protected List<DataFrame> |
OneVsOneGlmClassifier.split(DataFrame dataFrame,
int n) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
OneVsOneGlmClassifier.createClassifiers(DataFrame dataFrame) |
void |
OneVsOneGlmClassifier.fit(DataFrame dataFrame) |
void |
Glm.fit(DataFrame dataFrame) |
protected List<DataFrame> |
OneVsOneGlmClassifier.split(DataFrame dataFrame,
int n) |
| Modifier and Type | Method and Description |
|---|---|
protected List<DataFrame> |
OneVsOneGlmClassifier.remerge(List<DataFrame> batches,
int k) |
| Modifier and Type | Method and Description |
|---|---|
void |
Scaler.fit(DataFrame frame) |
Copyright © 2017. All rights reserved.