Bumped poetry version

README.md

@@ -119,6 +119,25 @@ await (DataImporters.data_set(DataSets.IRIS)
     .export_model(Exporters.aws_s3(...))
 ```
 
+## Predict
+```python
+ModelLoaders
+    .aws_s3("path/to/model", s3_config)
+    .import_data(
+        DataImporters.sql(sql_url, sql_query)
+    )
+    .predict()
+```
+
+## Extract result
+```python
+ModelLoaders
+    .aws_s3(...)
+    .import_data(...)
+    .predict()
+    .extract(prediction_as="target", metadata=['entry_id'], exporter=DataExporters.disk("predictions.csv"))
+```
+
 ## Examples
 An example of the IRIS data set which trains a model to perfection
 

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "benderml"
-version = "0.1.4"
+version = "0.1.5"
 description = "A Python package that makes ML processes easier, faster and less error prone"
 authors = ["Mats E. Mollestad <[email protected]>"]
 license = "Apache-2.0"