pyFTS.hyperparam package¶
Module contents¶
Submodules¶
pyFTS.hyperparam.Util module¶
Common facilities for hyperparameter optimization
- pyFTS.hyperparam.Util.create_hyperparam_tables(conn)[source]¶
Create a sqlite3 table designed to store benchmark results.
- Parameters
conn – a sqlite3 database connection
- pyFTS.hyperparam.Util.insert_hyperparam(data, conn)[source]¶
Insert benchmark data on database
- Parameters
data – a tuple with the benchmark data with format:
Dataset: Identify on which dataset the dataset was performed Tag: a user defined word that indentify a benchmark set Model: FTS model Transformation: The name of data transformation, if one was used mf: membership function Order: the order of the FTS method Partitioner: UoD partitioning scheme Partitions: Number of partitions alpha: alpha cut lags: lags Measure: accuracy measure Value: the measure value
- Parameters
conn – a sqlite3 database connection
- Returns
