I am trying to convert my CSV dataset into a federated data. Please find the code and the error I am getting while I am running my code
code: import collections
import numpy as np
import pandas as pd
import tensorflow as tf
import tensorflow_federated as tff
np.random.seed(0)
df = pd.read_csv('path to my csv file')
client_id_colname = 'aratio: continuous.'
SHUFFLE_BUFFER = 1000
NUM_EPOCHS = 1
client_ids = df[client_id_colname].unique()
train_client_ids = sample(client_ids.tolist(),500)
test_client_ids = [x for x in client_ids if x not in train_client_ids]
def create_tf_dataset_for_client_fn(client_id):
client_data = df[df[client_id_colname] == client_id]
dataset = tf.data.Dataset.from_tensor_slices(client_data.to_dict('list'))
dataset = dataset.shuffle(SHUFFLE_BUFFER).batch(1).repeat(NUM_EPOCHS)
return dataset
train_data = tff.simulation.ClientData.from_clients_and_fn(
client_ids=train_client_ids,
create_tf_dataset_for_client_fn=create_tf_dataset_for_client_fn
)
test_data = tff.simulation.ClientData.from_clients_and_fn(
client_ids=test_client_ids,
create_tf_dataset_for_client_fn=create_tf_dataset_for_client_fn
)
Error: ---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-7-9d85508920a8> in <module>
15 # split client id into train and test clients
16 client_ids = df[client_id_colname].unique()
---> 17 train_client_ids = sample(client_ids.tolist(),500)
18 test_client_ids = [x for x in client_ids if x not in train_client_ids]
19
NameError: name 'sample' is not defined
Python cannot find the
sample
function. The code will need to import it from somewhere, a few possible options:random.sample
numpy.random.sample
To use the first, the code would need an
import random
and the sample line would need to change to: