pyFTS.hyperparam package¶
Module contents¶
Submodules¶
pyFTS.hyperparam.Util module¶
Common facilities for hyperparameter optimization
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pyFTS.hyperparam.Util.create_hyperparam_tables(conn)¶ Create a sqlite3 table designed to store benchmark results.
Parameters: conn – a sqlite3 database connection
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pyFTS.hyperparam.Util.insert_hyperparam(data, conn)¶ 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:
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pyFTS.hyperparam.Util.open_hyperparam_db(name)¶ Open a connection with a Sqlite database designed to store benchmark results.
Parameters: name – database filenem Returns: a sqlite3 database connection