Package | Description |
---|---|
deepnetts.data |
Data structures to store example data used for building machine learning models.
|
deepnetts.util |
Various utility classes including Tensor, image operations, multithreading, exceptions etc.
|
Modifier and Type | Class and Description |
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class |
ImageSet
Data set with images that will be used to train convolutional neural network.
|
Modifier and Type | Method and Description |
---|---|
static TabularDataSet |
DataSets.readCsv(File csvFile,
int numInputs,
int numOutputs,
boolean hasColumnNames,
String delimiter)
Creates and returns data set from specified CSV file.
|
static TabularDataSet |
DataSets.readCsv(String fileName,
int numInputs,
int numOutputs,
boolean hasColumnNames) |
static TabularDataSet |
DataSets.readCsv(String fileName,
int numInputs,
int numOutputs,
boolean hasColumnNames,
String delimiter) |
static TabularDataSet |
DataSets.readCsv(String fileName,
int numInputs,
int numOutputs,
String delimiter) |
Modifier and Type | Method and Description |
---|---|
static int[] |
StatUtils.missingValuesCount(TabularDataSet<TabularDataSet.Item> dataSet) |
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