mirror of
https://github.com/Doctorado-ML/benchmark.git
synced 2025-08-17 16:35:54 +00:00
feat: ⚡ Add discretize and fix stratified hyperparameters in be_main
This commit is contained in:
@@ -92,6 +92,17 @@ class Arguments(argparse.ArgumentParser):
|
|||||||
"help": "dataset to work with",
|
"help": "dataset to work with",
|
||||||
},
|
},
|
||||||
],
|
],
|
||||||
|
"discretize": [
|
||||||
|
("--discretize",),
|
||||||
|
{
|
||||||
|
"action": EnvDefault,
|
||||||
|
"envvar": "discretize",
|
||||||
|
"required": True,
|
||||||
|
"help": "Discretize dataset",
|
||||||
|
"const": "1",
|
||||||
|
"nargs": "?",
|
||||||
|
},
|
||||||
|
],
|
||||||
"excel": [
|
"excel": [
|
||||||
("-x", "--excel"),
|
("-x", "--excel"),
|
||||||
{
|
{
|
||||||
@@ -260,6 +271,8 @@ class Arguments(argparse.ArgumentParser):
|
|||||||
"envvar": "stratified",
|
"envvar": "stratified",
|
||||||
"required": True,
|
"required": True,
|
||||||
"help": "Stratified",
|
"help": "Stratified",
|
||||||
|
"const": "1",
|
||||||
|
"nargs": "?",
|
||||||
},
|
},
|
||||||
],
|
],
|
||||||
"tex_output": [
|
"tex_output": [
|
||||||
|
@@ -108,14 +108,18 @@ class DatasetsSurcov:
|
|||||||
|
|
||||||
|
|
||||||
class Datasets:
|
class Datasets:
|
||||||
def __init__(self, dataset_name=None):
|
def __init__(self, dataset_name=None, discretize=None):
|
||||||
envData = EnvData.load()
|
envData = EnvData.load()
|
||||||
# DatasetsSurcov, DatasetsTanveer, DatasetsArff,...
|
# DatasetsSurcov, DatasetsTanveer, DatasetsArff,...
|
||||||
source_name = getattr(
|
source_name = getattr(
|
||||||
__import__(__name__),
|
__import__(__name__),
|
||||||
f"Datasets{envData['source_data']}",
|
f"Datasets{envData['source_data']}",
|
||||||
)
|
)
|
||||||
self.discretize = envData["discretize"] == "1"
|
self.discretize = (
|
||||||
|
envData["discretize"] == "1"
|
||||||
|
if discretize is None
|
||||||
|
else discretize == "1"
|
||||||
|
)
|
||||||
self.dataset = source_name()
|
self.dataset = source_name()
|
||||||
# initialize self.class_names & self.data_sets
|
# initialize self.class_names & self.data_sets
|
||||||
class_names, sets = self._init_names(dataset_name)
|
class_names, sets = self._init_names(dataset_name)
|
||||||
|
@@ -13,7 +13,7 @@ def main(args_test=None):
|
|||||||
arguments = Arguments(prog="be_main")
|
arguments = Arguments(prog="be_main")
|
||||||
arguments.xset("stratified").xset("score").xset("model", mandatory=True)
|
arguments.xset("stratified").xset("score").xset("model", mandatory=True)
|
||||||
arguments.xset("n_folds").xset("platform").xset("quiet").xset("title")
|
arguments.xset("n_folds").xset("platform").xset("quiet").xset("title")
|
||||||
arguments.xset("report").xset("ignore_nan")
|
arguments.xset("report").xset("ignore_nan").xset("discretize")
|
||||||
arguments.add_exclusive(
|
arguments.add_exclusive(
|
||||||
["grid_paramfile", "best_paramfile", "hyperparameters"]
|
["grid_paramfile", "best_paramfile", "hyperparameters"]
|
||||||
)
|
)
|
||||||
@@ -29,7 +29,9 @@ def main(args_test=None):
|
|||||||
score_name=args.score,
|
score_name=args.score,
|
||||||
model_name=args.model,
|
model_name=args.model,
|
||||||
stratified=args.stratified,
|
stratified=args.stratified,
|
||||||
datasets=Datasets(dataset_name=args.dataset),
|
datasets=Datasets(
|
||||||
|
dataset_name=args.dataset, discretize=args.discretize
|
||||||
|
),
|
||||||
hyperparams_dict=args.hyperparameters,
|
hyperparams_dict=args.hyperparameters,
|
||||||
hyperparams_file=args.best_paramfile,
|
hyperparams_file=args.best_paramfile,
|
||||||
grid_paramfile=args.grid_paramfile,
|
grid_paramfile=args.grid_paramfile,
|
||||||
|
Reference in New Issue
Block a user