chore(STT): remove strict documentation

Author: ehdsouza

ibm_watson/speech_to_text_v1.py

@@ -1249,9 +1249,8 @@ def train_language_model(self,
         * No training data have been added to the custom model.
         * The custom model contains one or more invalid corpora, grammars, or words (for
         example, a custom word has an invalid sounds-like pronunciation). You can correct
-        the invalid resources or set the `strict` parameter to `false` to exclude the
-        invalid resources from the training. The model must contain at least one valid
-        resource for training to succeed.
+        the invalid resources. The model must contain at least one valid resource for training
+        to succeed.
 
         :param str customization_id: The customization ID (GUID) of the custom language
         model that is to be used for the request. You must make the request with
@@ -2385,8 +2384,7 @@ def train_acoustic_model(self,
         `custom_language_model_id` query parameter. Both custom models must be based on
         the same version of the same base model.
         * The custom model contains one or more invalid audio resources. You can correct
-        the invalid audio resources or set the `strict` parameter to `false` to exclude
-        the invalid resources from the training. The model must contain at least one valid
+        the invalid audio resources. The model must contain at least one valid
         resource for training to succeed.
 
         :param str customization_id: The customization ID (GUID) of the custom acoustic
@@ -2922,8 +2920,7 @@ class AcousticModel(object):
     :attr str status: (optional) The current status of the custom acoustic model:
     * `pending`: The model was created but is waiting either for valid training data to be
     added or for the service to finish analyzing added data.
-    * `ready`: The model contains valid data and is ready to be trained. If the model
-    contains a mix of valid and invalid resources, you need to set the `strict` parameter
+    * `ready`: The model contains valid data and is ready to be trained.
     to `false` for the training to proceed.
     * `training`: The model is currently being trained.
     * `available`: The model is trained and ready to use.
@@ -2974,8 +2971,7 @@ def __init__(self,
         :param str status: (optional) The current status of the custom acoustic model:
         * `pending`: The model was created but is waiting either for valid training data
         to be added or for the service to finish analyzing added data.
-        * `ready`: The model contains valid data and is ready to be trained. If the model
-        contains a mix of valid and invalid resources, you need to set the `strict`
+        * `ready`: The model contains valid data and is ready to be trained.
         parameter to `false` for the training to proceed.
         * `training`: The model is currently being trained.
         * `available`: The model is trained and ready to use.
@@ -4538,9 +4534,7 @@ class LanguageModel(object):
     :attr str status: (optional) The current status of the custom language model:
     * `pending`: The model was created but is waiting either for valid training data to be
     added or for the service to finish analyzing added data.
-    * `ready`: The model contains valid data and is ready to be trained. If the model
-    contains a mix of valid and invalid resources, you need to set the `strict` parameter
-    to `false` for the training to proceed.
+    * `ready`: The model contains valid data and is ready to be trained.
     * `training`: The model is currently being trained.
     * `available`: The model is trained and ready to use.
     * `upgrading`: The model is currently being upgraded.
@@ -4603,8 +4597,7 @@ def __init__(self,
         :param str status: (optional) The current status of the custom language model:
         * `pending`: The model was created but is waiting either for valid training data
         to be added or for the service to finish analyzing added data.
-        * `ready`: The model contains valid data and is ready to be trained. If the model
-        contains a mix of valid and invalid resources, you need to set the `strict`
+        * `ready`: The model contains valid data and is ready to be trained.
         parameter to `false` for the training to proceed.
         * `training`: The model is currently being trained.
         * `available`: The model is trained and ready to use.
@@ -6108,8 +6101,7 @@ class TrainingResponse(object):
 
     :attr list[TrainingWarning] warnings: (optional) An array of `TrainingWarning` objects
     that lists any invalid resources contained in the custom model. For custom language
-    models, invalid resources are grouped and identified by type of resource. The method
-    can return warnings only if the `strict` parameter is set to `false`.
+    models, invalid resources are grouped and identified by type of resource.
     """
 
     def __init__(self, warnings=None):
@@ -6119,7 +6111,6 @@ def __init__(self, warnings=None):
         :param list[TrainingWarning] warnings: (optional) An array of `TrainingWarning`
         objects that lists any invalid resources contained in the custom model. For custom
         language models, invalid resources are grouped and identified by type of resource.
-        The method can return warnings only if the `strict` parameter is set to `false`.
         """
         self.warnings = warnings