NASA RUL project code snippets

NASA_RUL_imports.py

import numpy as np
import pandas as pd
import plotly.express as px
from xgboost import XGBRegressor
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import mean_squared_error
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
import tsfresh
from tsfresh import select_features
from tsfresh.utilities.dataframe_functions import impute
from tsfresh import extract_features
from scipy.signal import butter, filtfilt
from scipy import fftpack
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
import pytorch_lightning as pl
from sklearn.preprocessing import LabelEncoder
from multiprocessing import cpu_count
from pytorch_lightning.callbacks import ModelCheckpoint, EarlyStopping
from pytorch_lightning.loggers import TensorBoardLogger