dataiku · RedaAffane · Sep 23, 2020
diff --git a/.wlock b/.wlock
diff --git a/LICENSE b/LICENSE
diff --git a/Makefile b/Makefile
diff --git a/README.md b/README.md
diff --git a/code-env/python/desc.json b/code-env/python/desc.json
@@ -1,6 +1,8 @@
 {
-  "acceptedPythonInterpreters": ["PYTHON27"],
-  "forceConda": false,
-  "installCorePackages": true,
-  "installJupyterSupport": false
+    "acceptedPythonInterpreters": [
+        "PYTHON36"
+    ],
+    "forceConda": false,
+    "installCorePackages": true,
+    "installJupyterSupport": false
 }
diff --git a/code-env/python/spec/requirements.txt b/code-env/python/spec/requirements.txt
@@ -2,5 +2,7 @@ numpy==1.16.4
 scipy==1.2.2
 gensim==3.8.2
 scikit-learn==0.20.4
-tensorflow==1.15.2
+tensorflow==1.14.0
 tensorflow-hub==0.5.0
+torch==1.3.1
+transformers==2.11.0
diff --git a/custom-recipes/sentence-embedding-compute/recipe.json b/custom-recipes/sentence-embedding-compute/recipe.json
@@ -42,7 +42,7 @@
             "type": "COLUMNS",
             "description": "",
             "mandatory": true,
-            "columnRole":"input_dataset"
+            "columnRole": "input_dataset"
         },
         {
             "name": "aggregation_method",
@@ -84,14 +84,6 @@
             "description": "Used for computing SIF weights.",
             "type": "DOUBLE",
             "defaultValue": 0.001
-        },
-        {
-            "visibilityCondition": "model.advanced_settings",
-            "name": "n_principal_components",
-            "label": "[SIF] Principal Components",
-            "description": "Number of components to remove in SIF computation.",
-            "type": "INT",
-            "defaultValue": 1
         }
     ]
-}
+}
diff --git a/custom-recipes/sentence-embedding-compute/recipe.py b/custom-recipes/sentence-embedding-compute/recipe.py
diff --git a/custom-recipes/sentence-embedding-similarity/recipe.json b/custom-recipes/sentence-embedding-similarity/recipe.json
diff --git a/custom-recipes/sentence-embedding-similarity/recipe.py b/custom-recipes/sentence-embedding-similarity/recipe.py