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PHP Decode
<?php /** @phpstub */ class SVMModel { /** * Construct a new SVMModel * ..
Decoded Output download
<?php
/** @phpstub */
class SVMModel
{
/**
* Construct a new SVMModel
*
* @param string $filename
*/
public function __construct($filename = NULL)
{
}
/**
* Returns true if the model has probability information
*
* @return bool Return a boolean value
*/
public function checkProbabilityModel()
{
}
/**
* Get the labels the model was trained on
*
* @return array Return an array of labels
*/
public function getLabels()
{
}
/**
* Returns the number of classes the model was trained with
*
* @return int Return an integer number of classes
*/
public function getNrClass()
{
}
/**
* Get the SVM type the model was trained with
*
* @return int Return an integer SVM type
*/
public function getSvmType()
{
}
/**
* Get the sigma value for regression types
*
* @return float Returns a sigma value
*/
public function getSvrProbability()
{
}
/**
* Load a saved SVM Model
*
* @param string $filename
*
* @return bool Throws SVMException on error.
* Returns true on success.
*/
public function load($filename)
{
}
/**
* Predict a value for previously unseen data
*
* @param array $data
*
* @return float Float the predicted value. This will be a class label in the case of
* classification, a real value in the case of regression.
* Throws SVMException on error
*/
public function predict($data)
{
}
/**
* Return class probabilities for previous unseen data
*
* @param array $data
*
* @return float Float the predicted value. This will be a class label in the case of
* classification, a real value in the case of regression.
* Throws SVMException on error
*/
public function predict_probability($data)
{
}
/**
* Save a model to a file
*
* @param string $filename
*
* @return bool Throws SVMException on error.
* Returns true on success.
*/
public function save($filename)
{
}
} ?>
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Original Code
<?php
/** @phpstub */
class SVMModel
{
/**
* Construct a new SVMModel
*
* @param string $filename
*/
public function __construct($filename = NULL)
{
}
/**
* Returns true if the model has probability information
*
* @return bool Return a boolean value
*/
public function checkProbabilityModel()
{
}
/**
* Get the labels the model was trained on
*
* @return array Return an array of labels
*/
public function getLabels()
{
}
/**
* Returns the number of classes the model was trained with
*
* @return int Return an integer number of classes
*/
public function getNrClass()
{
}
/**
* Get the SVM type the model was trained with
*
* @return int Return an integer SVM type
*/
public function getSvmType()
{
}
/**
* Get the sigma value for regression types
*
* @return float Returns a sigma value
*/
public function getSvrProbability()
{
}
/**
* Load a saved SVM Model
*
* @param string $filename
*
* @return bool Throws SVMException on error.
* Returns true on success.
*/
public function load($filename)
{
}
/**
* Predict a value for previously unseen data
*
* @param array $data
*
* @return float Float the predicted value. This will be a class label in the case of
* classification, a real value in the case of regression.
* Throws SVMException on error
*/
public function predict($data)
{
}
/**
* Return class probabilities for previous unseen data
*
* @param array $data
*
* @return float Float the predicted value. This will be a class label in the case of
* classification, a real value in the case of regression.
* Throws SVMException on error
*/
public function predict_probability($data)
{
}
/**
* Save a model to a file
*
* @param string $filename
*
* @return bool Throws SVMException on error.
* Returns true on success.
*/
public function save($filename)
{
}
}
Function Calls
| None |
Stats
| MD5 | 8b0e3fbfd08b9b350304f9ab093d83b1 |
| Eval Count | 0 |
| Decode Time | 95 ms |