%pip install ISLP
%pip install torchinfo
import numpy as np
import pandas as pd
from matplotlib.pyplot import subplots
from sklearn.linear_model import (
LinearRegression,
LogisticRegression,
Lasso
)
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import (
train_test_split,
GridSearchCV,
KFold
)
from sklearn.pipeline import Pipeline
from ISLP import load_data
from ISLP.models import ModelSpec as MS
import torch
from torch import nn
from torch.optim import RMSprop
from torch.utils.data import TensorDataset
from torchmetrics import (
MeanAbsoluteError,
R2Score
)
from torchinfo import summary
from pytorch_lightning import Trainer, seed_everything
from pytorch_lightning.loggers import CSVLogger
seed_everything(0, workers=True)
torch.use
from torchvision.io import read_image
from torchvision.datasets import MNIST, CIFAR100
from torchvision.models import (
resnet50,
ResNet50_Weights
)
from torchvision.transforms import (
Resize,
Normalize,
CenterCrop,
ToTensor
)
from ISLP.torch import (
SimpleDataModule,
SimpleModule,
ErrorTracker,
rec_num_workers
)
from ISLP.torch.imdb import (
load_lookup,
load_tensor,
load_sparse,
load_sequential
)
from glob import glob
import json
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