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https://github.com/Doctorado-ML/benchmark.git
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Begin refactor arguments
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147
benchmark/Arguments.py
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147
benchmark/Arguments.py
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import argparse
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from .Experiments import Models
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from .Utils import Files
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ALL_METRICS = (
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"accuracy",
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"f1-macro",
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"f1-micro",
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"f1-weighted",
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"roc-auc-ovr",
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)
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class EnvData:
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@staticmethod
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def load():
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args = {}
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with open(Files.dot_env) as f:
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for line in f.read().splitlines():
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if line == "" or line.startswith("#"):
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continue
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key, value = line.split("=")
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args[key] = value
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return args
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class EnvDefault(argparse.Action):
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# Thanks to https://stackoverflow.com/users/445507/russell-heilling
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def __init__(self, envvar, required=True, default=None, **kwargs):
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self._args = EnvData.load()
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default = self._args[envvar]
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required = False
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super(EnvDefault, self).__init__(
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default=default, required=required, **kwargs
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)
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def __call__(self, parser, namespace, values, option_string=None):
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setattr(namespace, self.dest, values)
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class Arguments:
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def __init__(self):
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self.ap = argparse.ArgumentParser()
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models_data = Models.define_models(random_state=0)
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models = "{" + ", ".join(models_data) + "}"
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self.parameters = {
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"best": [
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("-b", "--best"),
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{
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"type": str,
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"required": False,
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"help": "best results of models",
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},
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],
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"color": [],
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"compare": [
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("-c", "--compare"),
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{
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"type": bool,
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"required": False,
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"help": "Compare accuracy with best results",
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},
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],
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"dataset": [],
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"excel": [
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("-x", "--excel"),
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{
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"type": bool,
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"required": False,
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"default": False,
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"help": "Generate Excel File",
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},
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],
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"file": [
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("-f", "--file"),
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{"type": str, "required": False, "help": "Result file"},
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],
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"grid": [
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("-g", "--grid"),
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{
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"type": str,
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"required": False,
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"help": "grid results of model",
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},
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],
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"grid_paramfile": [],
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"hidden": [],
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"hyperparameters": [],
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"key": [],
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"lose": [],
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"model": [
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("-m", "--model"),
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{
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"type": str,
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"required": True,
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"choices": list(models_data),
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"help": f"model name: {models}",
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},
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],
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"model1": [],
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"model2": [],
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"nan": [],
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"number": [],
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"n_folds": [],
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"paramfile": [],
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"platform": [],
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"quiet": [],
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"report": [],
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"score": [
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("-s", "--score"),
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{
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"action": EnvDefault,
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"envvar": "score",
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"type": str,
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"required": True,
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"choices": ALL_METRICS,
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},
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],
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"sql": [
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("-q", "--sql"),
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{"type": bool, "required": False, "help": "Generate SQL File"},
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],
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"stratified": [],
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"tex_output": [
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("-t", "--tex-output"),
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{
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"type": bool,
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"required": False,
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"default": False,
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"help": "Generate Tex file with the table",
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},
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],
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"title": [],
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"win": [],
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}
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def xset(self, *arg_name, **kwargs):
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print("parameters", arg_name[0])
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names, default = self.parameters[arg_name[0]]
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self.ap.add_argument(
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*names,
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**{**default, **kwargs},
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)
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return self
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def parse(self):
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return self.ap.parse_args()
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