anchit1704

torch.manual_seed(42)

x_tensor = torch.from_numpy(x).float()
y_tensor = torch.from_numpy(y).float()

# Builds dataset with ALL data
dataset = TensorDataset(x_tensor, y_tensor)
# Splits randomly into train and validation datasets
train_dataset, val_dataset = random_split(dataset, [80, 20])

anchit1704

import numpy as np
import torch

def sparse_retain(sparse_matrix, to_retain):
    # if sparse_matrix.shape[0] != to_retain.shape[0]:
    if len(sparse_matrix.coalesce().values()) != to_retain.shape[0]:
        raise ValueError("Shape Not Matched!") 
    
    a_mat = torch.IntTensor([])
    np_indices = np.empty((1, 2), int)  # dtype = np.int32)

anchit1704

Capital letters:

Code Name	Code	Description	Symbol / Character
Α	Α	Greek capital letter alpha	Α
Β	Β	Greek capital letter beta	Β
Γ	Γ	Greek capital letter gamma	Γ
Δ	Δ	Greek capital letter delta	Δ
Ε	Ε	Greek capital letter epsilon	Ε
Ζ	Ζ	Greek capital letter zeta	Ζ