Interface | Description |
---|---|
Model.DeepFeatures |
Class | Description |
---|---|
AUC2 |
One-pass approximate AUC
This algorithm can compute the AUC in 1-pass with good resolution.
|
AUC2.AUCBuilder | |
ClusteringModel<M extends ClusteringModel<M,P,O>,P extends ClusteringModel.ClusteringParameters,O extends ClusteringModel.ClusteringOutput> |
Clustering Model
Generates a 2-D array of clusters.
|
ClusteringModel.ClusteringOutput |
Output from all Clustering Models, includes generated clusters
|
ClusteringModel.ClusteringParameters |
Clustering Model Parameters includes the number of clusters desired
|
ClusteringModelBuilder<M extends ClusteringModel<M,P,O>,P extends ClusteringModel.ClusteringParameters,O extends ClusteringModel.ClusteringOutput> | |
ConfusionMatrix | |
CreateFrame |
Create a Frame from scratch
If randomize = true, then the frame is filled with Random values.
|
DMatrix |
Created by tomasnykodym on 11/13/14.
|
DMatrix.MatrixMulStats |
Info about matrix multiplication currently in progress.
|
DMatrix.MatrixMulTsk | |
DMatrix.TransposeTsk |
(MR)Task performing the matrix transpose.
|
FrameSplitter |
Frame splitter function to divide given frame into
multiple partitions based on given ratios.
|
Grid<MP extends Model.Parameters,G extends Grid<MP,G>> |
A Grid of Models
Used to explore Model hyper-parameter space.
|
Interaction |
Create new factors that represent interactions of the given factors
|
Model<M extends Model<M,P,O>,P extends Model.Parameters,O extends Model.Output> |
A Model models reality (hopefully).
|
Model.Output |
Model-specific output class.
|
Model.Parameters |
Model-specific parameter class.
|
ModelBuilder<M extends Model<M,P,O>,P extends Model.Parameters,O extends Model.Output> |
Model builder parent class.
|
ModelBuilder.ValidationMessage |
The result of an abnormal Model.Parameter check.
|
ModelMetrics |
Container to hold the metric for a model as scored on a specific frame.
|
ModelMetrics.MetricBuilder<T extends ModelMetrics.MetricBuilder<T>> |
Class used to compute AUCs, CMs & HRs "on the fly" during other passes
over Big Data.
|
ModelMetricsAutoEncoder | |
ModelMetricsAutoEncoder.MetricBuilderAutoEncoder | |
ModelMetricsBinomial | |
ModelMetricsBinomial.MetricBuilderBinomial<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>> | |
ModelMetricsBinomialGLM | |
ModelMetricsClustering | |
ModelMetricsClustering.MetricBuilderClustering | |
ModelMetricsMultinomial | |
ModelMetricsMultinomial.MetricBuilderMultinomial<T extends ModelMetricsMultinomial.MetricBuilderMultinomial<T>> | |
ModelMetricsPCA | |
ModelMetricsPCA.PCAModelMetrics | |
ModelMetricsRegression | |
ModelMetricsRegression.MetricBuilderRegression | |
ModelMetricsRegressionGLM |
Created by tomasnykodym on 4/20/15.
|
ModelMetricsSupervised | |
ModelMetricsSupervised.MetricBuilderSupervised<T extends ModelMetricsSupervised.MetricBuilderSupervised<T>> | |
ModelMetricsUnsupervised | |
ModelMetricsUnsupervised.MetricBuilderUnsupervised | |
ScoreKeeper |
Low-weight keeper of scores
Solely intended for display (either direct or as helper to create scoring history TwoDimTable)
Not intended to store large AUC object or ConfusionMatrices, etc.
|
SplitFrame | |
Transformer<T extends Keyed> |
Representation of transformation from type X to Y.
|
VarImp |
Enum | Description |
---|---|
AUC2.ThresholdCriterion |
Criteria for 2-class Confusion Matrices
This is an Enum class, with an exec() function to compute the criteria
from the basic parts, and from an AUC2 at a given threshold index.
|
ModelBuilder.BuilderVisibility |
Visibility for this algo: is it always visible, is it beta (always visible but with a note in the UI)
or is it experimental (hidden by default, visible in the UI if the user gives an "experimental" flag
at startup).
|
ModelBuilder.ValidationMessage.MessageType |