tensorflow starter.

import functools
import tensorflow as tf
import numpy as np
import os

train_dataset_file = open("./StarterData/1504218.csv")

CSV_COLUMNS = ['Date', 'Time', 'System Setting', 'System Mode', "Calendar Event", "Program Mode", "Cool Set Temp (F)", "Heat Set Temp (F)", "Current Temp (F)",
                "Current Humidity (%RH)", "Outdoor Temp (F)", "Wind Speed (km/h)", "Cool Stage 1 (sec)", "Heat Stage 1 (sec)", "Fan (sec)", "DM Offset", "Thermostat Temperature", "Thermostat Humidity (%RH)"]
feature_names = CSV_COLUMNS[:-1]
label_column = 'Current Temp (F)'

np.set_printoptions(precision=3, suppress=True)

def get_dataset(file_path, **kwargs):
    dataset = tf.data.experimental.make_csv_dataset(
        file_path,
        batch_size=32,
        label_name=label_column,
        na_value="?",
        num_epochs=1,
        ignore_errors=True,
        **kwargs)
    return dataset

temp_dataset = get_dataset(train_dataset_file, column_names = CSV_COLUMNS)

def show_batch(dataset):
    print('data')
    for batch, label in dataset.take(1):
        for key, value in batch.items():
            print("{:20s} {}".format(key, value.numpy()))


show_batch(temp_dataset)