TypeError: TimesFmBase.__init__() got an unexpected keyword argument 'context_len' #195
Description
import pandas as pd
import numpy as np
import timesfm as tf
# Carica il file CSV
df = pd.read_csv("file.csv", parse_dates=["Datetime"])
df = df.set_index("Datetime")
# Configurazione del modello
tfm = tf.TimesFm(
context_len=128, # Contesto massimo (modificabile)
horizon_len=5, # Orizzonte di previsione
input_patch_len=32,
output_patch_len=128,
num_layers=20,
model_dims=1280,
backend="gpu", # Cambia in "cpu" se necessario
)
I receive back:
TypeError: TimesFmBase.init() got an unexpected keyword argument 'context_len'
despite is the standard instruction were officially given . Thanks