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Dakota
Version 6.20
Explore and Predict with Confidence
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Dakota
Version 6.20
Explore and Predict with Confidence
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Leaves the data unscaled. More...
Public Member Functions | |
| NoScaler (const MatrixXd &features) | |
| Main constructor for NoScaler. More... | |
 Public Member Functions inherited from DataScaler | |
| void | scale_samples (const MatrixXd &unscaled_samples, MatrixXd &scaled_samples) |
| Apply scaling to a set of unscaled samples. More... | |
| MatrixXd | scale_samples (const MatrixXd &unscaled_samples) |
| Apply scaling to a set of unscaled samples. More... | |
| const VectorXd & | get_scaler_features_offsets () const |
| Get the vector of offsets. More... | |
| const VectorXd & | get_scaler_features_scale_factors () const |
| Get the vector of scaling factors. More... | |
| bool | check_for_zero_scaler_factor (int index) |
| Checks an individual scaler feature scale factor for being close to zero; If it is near zero, we can potentially run into a divide-by-zero error if not handled appropriately. More... | |
Additional Inherited Members | |
| Public Types inherited from DataScaler | |
| enum | SCALER_TYPE { NONE, STANDARDIZATION, MEAN_NORMALIZATION, MINMAX_NORMALIZATION } |
| Enumeration for supported types of DataScalers. | |
| Static Public Member Functions inherited from DataScaler | |
| static SCALER_TYPE | scaler_type (const std::string &scaler_name) |
| Convert scaler name to enum type. More... | |
| Protected Attributes inherited from DataScaler | |
| bool | hasScaling |
| Bool for whether or not the the scaling coefficients have been computed. | |
| RowVectorXd | scaledSample |
| Vector for a single scaled sample - (num_features); avoids resize memory allocs. | |
| VectorXd | scalerFeaturesOffsets |
| Vector of offsets - (num_features) | |
| VectorXd | scalerFeaturesScaleFactors |
| Vector of scaling factors - (num_features) | |
Leaves the data unscaled.
This DataScaler has fixed coefficients that amount to an identity operation. It is useful when the data has already been scaled or scaling is desired.
scaler_offsets = 0.0
scale_factors = 1.0
Main constructor for NoScaler.
| [in] | features | Unscaled data matrix - (num_samples by num_features) |
References DataScaler::hasScaling, DataScaler::scaledSample, DataScaler::scalerFeaturesOffsets, and DataScaler::scalerFeaturesScaleFactors.
1.8.20