Added Python ML examples to the API docs

docs/examples/095e3f21941a9cc75f398389a075152d.asciidoc

@@ -0,0 +1,22 @@
+// ml/trained-models/apis/infer-trained-model.asciidoc:1043
+
+[source, python]
+----
+resp = client.ml.infer_trained_model(
+    model_id="cross-encoder__ms-marco-tinybert-l-2-v2",
+    body={
+        "docs": [
+            {
+                "text_field": "Berlin has a population of 3,520,031 registered inhabitants in an area of 891.82 square kilometers."
+            },
+            {
+                "text_field": "New York City is famous for the Metropolitan Museum of Art."
+            },
+        ],
+        "inference_config": {
+            "text_similarity": {"text": "How many people live in Berlin?"}
+        },
+    },
+)
+print(resp)
+----

docs/examples/0e5d25c7bb738c42d471020d678e2966.asciidoc

@@ -0,0 +1,12 @@
+// ml/trained-models/apis/start-trained-model-deployment.asciidoc:173
+
+[source, python]
+----
+resp = client.ml.start_trained_model_deployment(
+    model_id="my_model",
+    deployment_id="my_model_for_ingest",
+    wait_for="started",
+    timeout="1m",
+)
+print(resp)
+----

docs/examples/147d341cb212dcc015c129a9c5dcf9c9.asciidoc

@@ -0,0 +1,10 @@
+// ml/trained-models/apis/put-trained-models-aliases.asciidoc:82
+
+[source, python]
+----
+resp = client.ml.put_trained_model_alias(
+    model_id="flight-delay-prediction-1574775339910",
+    model_alias="flight_delay_model",
+)
+print(resp)
+----

docs/examples/2d633b7f346b828d01f923ce9dbf6ad5.asciidoc

@@ -0,0 +1,10 @@
+// ml/trained-models/apis/put-trained-model-vocabulary.asciidoc:63
+
+[source, python]
+----
+resp = client.ml.put_trained_model_vocabulary(
+    model_id="elastic__distilbert-base-uncased-finetuned-conll03-english",
+    body={"vocabulary": ["[PAD]", "[unused0]", ...]},
+)
+print(resp)
+----

docs/examples/35a272df8c919a12d7c3106a18245748.asciidoc

@@ -0,0 +1,16 @@
+// ml/trained-models/apis/infer-trained-model.asciidoc:849
+
+[source, python]
+----
+resp = client.ml.infer_trained_model(
+    model_id="lang_ident_model_1",
+    body={
+        "docs": [
+            {
+                "text": "The fool doth think he is wise, but the wise man knows himself to be a fool."
+            }
+        ]
+    },
+)
+print(resp)
+----

docs/examples/3c345feb7c52fd54bcb5d5505fd8bc3b.asciidoc

@@ -0,0 +1,15 @@
+// ml/trained-models/apis/infer-trained-model.asciidoc:1008
+
+[source, python]
+----
+resp = client.ml.infer_trained_model(
+    model_id="model2",
+    body={
+        "docs": [{"text_field": "<long text to extract answer>"}],
+        "inference_config": {
+            "question_answering": {"question": "<question to be answered>"}
+        },
+    },
+)
+print(resp)
+----

docs/examples/4c174e228b6b74497b73ef2be80de7ad.asciidoc

@@ -0,0 +1,7 @@
+// ml/trained-models/apis/get-trained-models.asciidoc:1460
+
+[source, python]
+----
+resp = client.ml.get_trained_models()
+print(resp)
+----

docs/examples/5837d5f50665ac0a26181d3aaeb3f204.asciidoc

@@ -0,0 +1,10 @@
+// ml/trained-models/apis/start-trained-model-deployment.asciidoc:181
+
+[source, python]
+----
+resp = client.ml.start_trained_model_deployment(
+    model_id="my_model",
+    deployment_id="my_model_for_search",
+)
+print(resp)
+----

docs/examples/776b553df0e507c96dbdbaedecaca0cc.asciidoc

@@ -0,0 +1,10 @@
+// ml/trained-models/apis/infer-trained-model.asciidoc:880
+
+[source, python]
+----
+resp = client.ml.infer_trained_model(
+    model_id="model2",
+    body={"docs": [{"text_field": "The movie was awesome!!"}]},
+)
+print(resp)
+----

docs/examples/7e4cb3de3e3c75646b60f9f81ddc59cc.asciidoc

@@ -0,0 +1,9 @@
+// ml/trained-models/apis/clear-trained-model-deployment-cache.asciidoc:43
+
+[source, python]
+----
+resp = client.ml.clear_trained_model_deployment_cache(
+    model_id="elastic__distilbert-base-uncased-finetuned-conll03-english",
+)
+print(resp)
+----

docs/examples/821422f8a03dc98d024a15fc737fe9eb.asciidoc

@@ -0,0 +1,10 @@
+// ml/trained-models/apis/delete-trained-models-aliases.asciidoc:51
+
+[source, python]
+----
+resp = client.ml.delete_trained_model_alias(
+    model_id="flight-delay-prediction-1574775339910",
+    model_alias="flight_delay_model",
+)
+print(resp)
+----

docs/examples/9225841fdcddaf83ebdb90c2b0399e20.asciidoc

@@ -0,0 +1,7 @@
+// ml/trained-models/apis/get-trained-models-stats.asciidoc:405
+
+[source, python]
+----
+resp = client.ml.get_trained_models_stats()
+print(resp)
+----

docs/examples/9cbb097e5498a9fde39e3b1d3b62a4d2.asciidoc

@@ -0,0 +1,18 @@
+// ml/trained-models/apis/infer-trained-model.asciidoc:945
+
+[source, python]
+----
+resp = client.ml.infer_trained_model(
+    model_id="model2",
+    body={
+        "docs": [{"text_field": "This is a very happy person"}],
+        "inference_config": {
+            "zero_shot_classification": {
+                "labels": ["glad", "sad", "bad", "rad"],
+                "multi_label": False,
+            }
+        },
+    },
+)
+print(resp)
+----

docs/examples/aa6282d4bc92c753c4bd7a5b166abece.asciidoc

@@ -0,0 +1,11 @@
+// ml/trained-models/apis/start-trained-model-deployment.asciidoc:133
+
+[source, python]
+----
+resp = client.ml.start_trained_model_deployment(
+    model_id="elastic__distilbert-base-uncased-finetuned-conll03-english",
+    wait_for="started",
+    timeout="1m",
+)
+print(resp)
+----

docs/examples/be6b0bfcdce1ef100af89f74da5d4748.asciidoc

@@ -0,0 +1,15 @@
+// ml/trained-models/apis/put-trained-model-definition-part.asciidoc:64
+
+[source, python]
+----
+resp = client.ml.put_trained_model_definition_part(
+    model_id="elastic__distilbert-base-uncased-finetuned-conll03-english",
+    part="0",
+    body={
+        "definition": "...",
+        "total_definition_length": 265632637,
+        "total_parts": 64,
+    },
+)
+print(resp)
+----

docs/examples/cc90639f2e65bd89cb73296cac6135cf.asciidoc

@@ -0,0 +1,9 @@
+// ml/trained-models/apis/delete-trained-models.asciidoc:54
+
+[source, python]
+----
+resp = client.ml.delete_trained_model(
+    model_id="regression-job-one-1574775307356",
+)
+print(resp)
+----

docs/examples/cee491dd0a8d10ed0cb11a2faa0c99f0.asciidoc

@@ -0,0 +1,19 @@
+// ml/trained-models/apis/infer-trained-model.asciidoc:1078
+
+[source, python]
+----
+resp = client.ml.infer_trained_model(
+    model_id="model2",
+    body={
+        "docs": [
+            {
+                "text_field": "The Amazon rainforest covers most of the Amazon basin in South America"
+            }
+        ],
+        "inference_config": {
+            "ner": {"tokenization": {"bert": {"truncate": "first"}}}
+        },
+    },
+)
+print(resp)
+----

docs/examples/d50b030edfe6d1128eb76aa5ba9d4e27.asciidoc

@@ -0,0 +1,11 @@
+// ml/trained-models/apis/put-trained-models-aliases.asciidoc:94
+
+[source, python]
+----
+resp = client.ml.put_trained_model_alias(
+    model_id="flight-delay-prediction-1580004349800",
+    model_alias="flight_delay_model",
+    reassign="true",
+)
+print(resp)
+----

docs/examples/dbf93d02ab86a09929a21232b19709cc.asciidoc

@@ -0,0 +1,9 @@
+// ml/trained-models/apis/stop-trained-model-deployment.asciidoc:67
+
+[source, python]
+----
+resp = client.ml.stop_trained_model_deployment(
+    model_id="my_model_for_search",
+)
+print(resp)
+----

docs/examples/ff776c0fccf93e1c7050f7cb7efbae0b.asciidoc

@@ -0,0 +1,12 @@
+// ml/trained-models/apis/infer-trained-model.asciidoc:905
+
+[source, python]
+----
+resp = client.ml.infer_trained_model(
+    model_id="model2",
+    body={
+        "docs": [{"text_field": "Hi my name is Josh and I live in Berlin"}]
+    },
+)
+print(resp)
+----

utils/generate-examples.py

@@ -110,6 +110,20 @@
     "inference/delete-inference.asciidoc",
     "inference/post-inference.asciidoc",
     "inference/put-inference.asciidoc",
+    "ml/trained-models/apis/clear-trained-model-deployment-cache.asciidoc",
+    "ml/trained-models/apis/delete-trained-models-aliases.asciidoc",
+    "ml/trained-models/apis/delete-trained-models.asciidoc",
+    "ml/trained-models/apis/get-trained-models-stats.asciidoc",
+    "ml/trained-models/apis/get-trained-models.asciidoc",
+    "ml/trained-models/apis/infer-trained-model-deployment.asciidoc",
+    "ml/trained-models/apis/infer-trained-model.asciidoc",
+    "ml/trained-models/apis/put-trained-model-definition-part.asciidoc",
+    "ml/trained-models/apis/put-trained-model-vocabulary.asciidoc",
+    "ml/trained-models/apis/put-trained-models-aliases.asciidoc",
+    "ml/trained-models/apis/put-trained-models.asciidoc",
+    "ml/trained-models/apis/start-trained-model-deployment.asciidoc",
+    "ml/trained-models/apis/stop-trained-model-deployment.asciidoc",
+    "ml/trained-models/apis/update-trained-model-deployment.asciidoc",
 ]