--- a
+++ b/simdeep/simdeep_distributed.py
@@ -0,0 +1,94 @@
+import ray
+from simdeep.simdeep_analysis import SimDeep
+
+from simdeep.config import NB_CLUSTERS
+from simdeep.config import CLUSTER_ARRAY
+from simdeep.config import PVALUE_THRESHOLD
+from simdeep.config import CINDEX_THRESHOLD
+from simdeep.config import CLASSIFIER_TYPE
+
+from simdeep.config import MIXTURE_PARAMS
+from simdeep.config import PATH_RESULTS
+from simdeep.config import PROJECT_NAME
+from simdeep.config import CLASSIFICATION_METHOD
+
+from simdeep.config import CLUSTER_EVAL_METHOD
+from simdeep.config import CLUSTER_METHOD
+from simdeep.config import NB_THREADS_COXPH
+from simdeep.config import NB_SELECTED_FEATURES
+from simdeep.config import LOAD_EXISTING_MODELS
+from simdeep.config import NODES_SELECTION
+from simdeep.config import PATH_TO_SAVE_MODEL
+
+from simdeep.config import USE_AUTOENCODERS
+from simdeep.config import FEATURE_SURV_ANALYSIS
+from simdeep.config import CLUSTERING_OMICS
+from simdeep.config import USE_R_PACKAGES_FOR_SURVIVAL
+
+
+@ray.remote
+class SimDeepDistributed(SimDeep):
+    def __init__(
+            self,
+            nb_clusters=NB_CLUSTERS,
+            pvalue_thres=PVALUE_THRESHOLD,
+            cindex_thres=CINDEX_THRESHOLD,
+            use_autoencoders=USE_AUTOENCODERS,
+            feature_surv_analysis=FEATURE_SURV_ANALYSIS,
+            cluster_method=CLUSTER_METHOD,
+            cluster_eval_method=CLUSTER_EVAL_METHOD,
+            classifier_type=CLASSIFIER_TYPE,
+            project_name=PROJECT_NAME,
+            path_results=PATH_RESULTS,
+            cluster_array=CLUSTER_ARRAY,
+            nb_selected_features=NB_SELECTED_FEATURES,
+            mixture_params=MIXTURE_PARAMS,
+            node_selection=NODES_SELECTION,
+            nb_threads_coxph=NB_THREADS_COXPH,
+            classification_method=CLASSIFICATION_METHOD,
+            load_existing_models=LOAD_EXISTING_MODELS,
+            clustering_omics=CLUSTERING_OMICS,
+            path_to_save_model=PATH_TO_SAVE_MODEL,
+            metadata_usage=None,
+            feature_selection_usage='individual',
+            use_r_packages=USE_R_PACKAGES_FOR_SURVIVAL,
+            alternative_embedding=None,
+            kwargs_alternative_embedding={},
+            do_KM_plot=True,
+            verbose=True,
+            _isboosting=False,
+            dataset=None,
+            deep_model_additional_args={}):
+        """
+        """
+        SimDeep.__init__(
+            self,
+            nb_clusters=nb_clusters,
+            pvalue_thres=pvalue_thres,
+            cindex_thres=cindex_thres,
+            cluster_method=cluster_method,
+            cluster_eval_method=cluster_eval_method,
+            classifier_type=classifier_type,
+            project_name=project_name,
+            clustering_omics=clustering_omics,
+            path_results=path_results,
+            use_autoencoders=use_autoencoders,
+            feature_surv_analysis=feature_surv_analysis,
+            cluster_array=cluster_array,
+            nb_selected_features=nb_selected_features,
+            mixture_params=mixture_params,
+            node_selection=node_selection,
+            nb_threads_coxph=nb_threads_coxph,
+            feature_selection_usage=feature_selection_usage,
+            metadata_usage=metadata_usage,
+            classification_method=classification_method,
+            load_existing_models=load_existing_models,
+            path_to_save_model=path_to_save_model,
+            do_KM_plot=do_KM_plot,
+            alternative_embedding=alternative_embedding,
+            kwargs_alternative_embedding=kwargs_alternative_embedding,
+            verbose=verbose,
+            use_r_packages=use_r_packages,
+            _isboosting=_isboosting,
+            dataset=dataset,
+            deep_model_additional_args=deep_model_additional_args)