Martín Villanueva mavillan

I hereby claim:

To claim this, I am signing this object:

	import papermill as pm
	from pathlib import Path
	import subprocess
	import typer

	def remove_cell_outputs(notebook_path:str) -> None:
	command = f"jupyter nbconvert --ClearOutputPreprocessor.enabled=True --inplace {notebook_path}"
	process = subprocess.Popen(command.split(), stdout=subprocess.PIPE)
	output, error = process.communicate()
	print(output)

	import torch
	from torch import nn
	import pytorch_lightning as pl

	class SoftOrdering1DCNN(pl.LightningModule):

	def __init__(self, input_dim, output_dim, sign_size=32, cha_input=16, cha_hidden=32,
	K=2, dropout_input=0.2, dropout_hidden=0.2, dropout_output=0.2):
	super().__init__()

	kf = model_selection.KFold(n_splits=5, shuffle=True, random_state=23)

	cv_scores = list()
	best_iterations = list()

	for train_idx,valid_idx in kf.split(train.loc[:,input_cols]):

	X_train,y_train = train.loc[train_idx,input_cols], train.loc[train_idx,target]
	X_valid,y_valid = train.loc[valid_idx,input_cols], train.loc[valid_idx,target]