refactor: name changes

DHARPA-Project · Apr 9, 2024 · 5dc9dcf · 5dc9dcf
1 parent e8d4093
commit 5dc9dcf
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Showing 3 changed files with 7 additions and 7 deletions.
diff --git a/docs/jupyter/kiara_topic_modelling.ipynb b/docs/jupyter/kiara_topic_modelling.ipynb
@@ -659,7 +659,7 @@
     }
    ],
    "source": [
-    "! kiara operation explain topic_modelling.tokenize_corpus"
+    "! kiara operation explain topic_modelling.tokenize_array"
    ]
   },
   {
@@ -735,7 +735,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We can now use the array as input for the tokenize_corpus operation."
+    "We can now use the array as input for the tokenize_array operation."
    ]
   },
   {
@@ -744,7 +744,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "tokenize_corpus_inputs = {\n",
+    "tokenize_array_inputs = {\n",
     "    \"corpus_array\": pick_column_results['array'],\n",
     "    \"column_name\": \"content\"   \n",
     "}"
@@ -766,7 +766,7 @@
     }
    ],
    "source": [
-    "tokenize_corpus_results = kiara.run_job('topic_modelling.tokenize_corpus', inputs=tokenize_corpus_inputs)"
+    "tokenize_array_results = kiara.run_job('topic_modelling.tokenize_array', inputs=tokenize_array_inputs)"
    ]
   },
   {
@@ -836,7 +836,7 @@
     }
    ],
    "source": [
-    "tokenize_corpus_results"
+    "tokenize_array_results"
    ]
   },
   {

diff --git a/examples/pipelines/init.yaml b/examples/pipelines/init.yaml
@@ -16,7 +16,7 @@ steps:
       step_id: create_array
       input_links:
         table: create_table.table
-    - module_type: topic_modelling.tokenize_corpus
+    - module_type: topic_modelling.tokenize_array
       step_id: tokenize_corpus
       input_links:
         corpus_array: create_array.array
diff --git a/src/kiara_plugin/topic_modelling/modules/pre_process.py b/src/kiara_plugin/topic_modelling/modules/pre_process.py
@@ -13,7 +13,7 @@ class TokenizeArray(KiaraModule):
     - NLTK: https://www.nltk.org/
     """
 
-    _module_type_name = "topic_modelling.tokenize_corpus"
+    _module_type_name = "topic_modelling.tokenize_array"
 
     def create_inputs_schema(self):
         return {