MyMediaLite
3.08
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Nealder-Mead algorithm for finding suitable hyperparameters. More...
Static Public Member Functions | |
static double | FindMinimum (string error_measure, RatingPredictor recommender) |
Find best hyperparameter (according to an error measure) using Nelder-Mead search. | |
static double | FindMinimum (string evaluation_measure, IList< string > hp_names, IList< DenseVector > initial_hp_values, RatingPredictor recommender, ISplit< IRatings > split) |
Find the the parameters resulting in the minimal results for a given evaluation measure. |
Nealder-Mead algorithm for finding suitable hyperparameters.
static double FindMinimum | ( | string | error_measure, |
RatingPredictor | recommender | ||
) | [inline, static] |
Find best hyperparameter (according to an error measure) using Nelder-Mead search.
error_measure | an error measure (lower is better) |
recommender | a rating predictor (will be set to best hyperparameter combination) |
static double FindMinimum | ( | string | evaluation_measure, |
IList< string > | hp_names, | ||
IList< DenseVector > | initial_hp_values, | ||
RatingPredictor | recommender, | ||
ISplit< IRatings > | split | ||
) | [inline, static] |
Find the the parameters resulting in the minimal results for a given evaluation measure.
The recommender will be set to the best parameter value after calling this method.
evaluation_measure | the name of the evaluation measure |
hp_names | the names of the hyperparameters to optimize |
initial_hp_values | the values of the hyperparameters to try out first |
recommender | the recommender |
split | the dataset split to use |