add instagram demo

Author: jettify

examples/multiple/instagram/instagram.json

@@ -0,0 +1,61 @@
+{
+    "example_data": {
+        "Number.of.followers": 177,
+        "Number.of.people.they.follow": 198,
+        "Number.of.posts": 0,
+        "Private.account": true,
+        "has_profile_picture": true,
+        "rating": false
+    },
+    "schema": {
+        "properties": {
+            "Number.of.followers": {
+                "type": [
+                    "integer"
+                ]
+            },
+            "Number.of.people.they.follow": {
+                "type": [
+                    "integer"
+                ]
+            },
+            "Number.of.posts": {
+                "type": [
+                    "integer"
+                ]
+            },
+            "Private.account": {
+                "type": [
+                    "boolean"
+                ]
+            },
+            "has_profile_picture": {
+                "type": [
+                    "boolean"
+                ]
+            },
+            "rating": {
+                "type": [
+                    "boolean"
+                ]
+            }
+        },
+        "required": [
+            "Number.of.posts",
+            "Number.of.people.they.follow",
+            "Number.of.followers",
+            "has_profile_picture",
+            "Private.account",
+            "rating"
+        ],
+        "type": "object"
+    },
+    "ui_schema": {
+        "Number.of.followers": {},
+        "Number.of.people.they.follow": {},
+        "Number.of.posts": {},
+        "Private.account": {"ui:widget": "radio"},
+        "has_profile_picture": {"ui:widget": "radio"},
+        "rating": {}
+    }
+}

examples/multiple/instagram/instagram_inf.py

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+import json
+import pandas as pd
+import cloudpickle
+from sklearn.ensemble import RandomForestClassifier
+from mlserve import build_schema
+
+
+columns = [
+    'Number.of.posts',
+    'Number.of.people.they.follow',
+    'Number.of.followers',
+    'has_profile_picture',
+    'Private.account']
+target_name = 'rating'
+
+dtypes = {
+    'Number.of.posts': 'uint32',
+    'Number.of.people.they.follow': 'uint32',
+    'Number.of.followers': 'uint32',
+    'has_profile_picture': 'bool',
+    'Private.account': 'bool',
+}
+
+data = pd.read_csv('labelled_1000_inclprivate.csv', dtype=dtypes)
+
+X_train = data[columns]
+y_train = data[target_name]
+original = pd.concat([X_train, y_train], axis=1)
+
+rfc = RandomForestClassifier(n_estimators=100)
+rfc.fit(X_train, y_train)
+print(rfc.predict_proba(X_train))
+
+
+print('Writing model')
+with open('instgram_rf.pkl', 'wb') as f:
+    cloudpickle.dump(rfc, f)
+
+
+print('Writing dataset schema')
+schema = build_schema(original)
+with open('instagram.json', 'w') as f:
+    json.dump(schema, f, indent=4, sort_keys=True)