how to load model.h5

[ryan-gz]

Hi Florent, I've got some doc vectors，and tried to fit the model.
Now I got some trained models( named like 'model_40.h5'). I want to see the details of clustering or predict new doc vectors, how could I load these DTC models?
Many thanks.

[lushunn]

This is my code

from DeepTemporalClustering import  DTC
from  datasets_ts import  load_data
import numpy as np
dtc = DTC(n_clusters=5,
          input_dim=8,
          timesteps=168,
          n_filters=50,
          kernel_size=10,
          strides=1,
          pool_size=24,
          n_units=[50, 10],
          alpha=1.0,
          dist_metric='eucl',
          cluster_init='kmeans',
          heatmap=True) # same as your training parameters
dtc.initialize()
dtc.load_weights('results/tmp/DTC_model_final.h5')
import joblib
X = joblib.load('./data/X.h5') ## your test data
pred=dtc.predict(X)

[ryan-gz]

@lushunn Thanks! It really helps.