bermejo4/Tiresias_MLP_Altitude-w2-3-4-p1-v1

Model card for MLP_102030_W_2-3-4_PAST_1_Altitude version 1

Overview

Model registered in MLflow. Flavor detected: keras. Export date: 2025-08-03 11:00:36 UTC.

Metrics

• mae_real: 0.477288
• rmse_real: 0.898253

Model inputs / shape

• Input shape (approximate): (None, 707)

Scalers

• scaler_X: used to transform features before prediction (if present).
• scaler_y: used to inverse-transform the model output (if present).

Usage example

from tensorflow.keras.models import load_model
import joblib
import numpy as np

# Cargar
model = load_model('model')  # si es Keras SavedModel
scaler_X = joblib.load('scaler_X.joblib')  # si existe
scaler_y = joblib.load('scaler_y.joblib')  # si existe

# Predecir
# X_raw = ...  # tu array de features sin escalar
X_scaled = scaler_X.transform(X_raw)
y_pred_scaled = model.predict(X_scaled)
y_pred = scaler_y.inverse_transform(y_pred_scaled)

Notes

• Asegúrate de que las versiones de TensorFlow / scikit-learn sean compatibles.