Merge pull request #473 from KhiopsML/fix-v11-samples-usage

Fix text sample dictionary name

Author: popescu-v

doc/samples/samples.rst

@@ -307,7 +307,7 @@ Samples
     # Train the predictor
     kh.train_predictor(
         dictionary_file_path,
-        "FlightNegativeTweets",
+        "NegativeAirlineTweets",
         data_table_path,
         "negativereason",
         report_file_path,
@@ -1109,7 +1109,7 @@ Samples
     # Train the predictor
     _, model_dictionary_file_path = kh.train_predictor(
         dictionary_file_path,
-        "FlightNegativeTweets",
+        "NegativeAirlineTweets",
         data_table_path,
         "negativereason",
         report_file_path,
@@ -1122,7 +1122,7 @@ Samples
     # It will score it according to the trained predictor
     kh.deploy_model(
         model_dictionary_file_path,
-        "SNB_FlightNegativeTweets",
+        "SNB_NegativeAirlineTweets",
         data_table_path,
         output_data_table_path,
     )

khiops/samples/samples.ipynb

@@ -397,7 +397,7 @@
     "# Train the predictor\n",
     "kh.train_predictor(\n",
     "    dictionary_file_path,\n",
-    "    \"FlightNegativeTweets\",\n",
+    "    \"NegativeAirlineTweets\",\n",
     "    data_table_path,\n",
     "    \"negativereason\",\n",
     "    report_file_path,\n",
@@ -1459,7 +1459,7 @@
     "# Train the predictor\n",
     "_, model_dictionary_file_path = kh.train_predictor(\n",
     "    dictionary_file_path,\n",
-    "    \"FlightNegativeTweets\",\n",
+    "    \"NegativeAirlineTweets\",\n",
     "    data_table_path,\n",
     "    \"negativereason\",\n",
     "    report_file_path,\n",
@@ -1472,7 +1472,7 @@
     "# It will score it according to the trained predictor\n",
     "kh.deploy_model(\n",
     "    model_dictionary_file_path,\n",
-    "    \"SNB_FlightNegativeTweets\",\n",
+    "    \"SNB_NegativeAirlineTweets\",\n",
     "    data_table_path,\n",
     "    output_data_table_path,\n",
     ")"

khiops/samples/samples.py

@@ -332,7 +332,7 @@ def train_predictor_text():
     # Train the predictor
     kh.train_predictor(
         dictionary_file_path,
-        "FlightNegativeTweets",
+        "NegativeAirlineTweets",
         data_table_path,
         "negativereason",
         report_file_path,
@@ -1249,7 +1249,7 @@ def deploy_model_text():
     # Train the predictor
     _, model_dictionary_file_path = kh.train_predictor(
         dictionary_file_path,
-        "FlightNegativeTweets",
+        "NegativeAirlineTweets",
         data_table_path,
         "negativereason",
         report_file_path,
@@ -1262,7 +1262,7 @@ def deploy_model_text():
     # It will score it according to the trained predictor
     kh.deploy_model(
         model_dictionary_file_path,
-        "SNB_FlightNegativeTweets",
+        "SNB_NegativeAirlineTweets",
         data_table_path,
         output_data_table_path,
     )