chore: prepare release 1.2.1

zama-ai · Oct 13, 2023 · d9d1d58 · d9d1d58
1 parent 6c4b523
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diff --git a/docs/conf.py b/docs/conf.py
@@ -27,7 +27,7 @@
 root_url = root_url if root_url.endswith("/") else root_url + "/"
 
 # The full version, including alpha/beta/rc tags
-release = "1.2.0"
+release = "1.2.1"
 
 
 # -- General configuration ---------------------------------------------------

diff --git a/docs/developer-guide/api/README.md b/docs/developer-guide/api/README.md
@@ -356,6 +356,7 @@
 - [`quantizers.fill_from_kwargs`](./concrete.ml.quantization.quantizers.md#function-fill_from_kwargs): Fill a parameter set structure from kwargs parameters.
 - [`p_error_search.compile_and_simulated_fhe_inference`](./concrete.ml.search_parameters.p_error_search.md#function-compile_and_simulated_fhe_inference): Get the quantized module of a given model in FHE, simulated or not.
 - [`tree_to_numpy.add_transpose_after_last_node`](./concrete.ml.sklearn.tree_to_numpy.md#function-add_transpose_after_last_node): Add transpose after last node.
+- [`tree_to_numpy.assert_add_node_and_constant_in_xgboost_regressor_graph`](./concrete.ml.sklearn.tree_to_numpy.md#function-assert_add_node_and_constant_in_xgboost_regressor_graph): Assert if an Add node with a specific constant exists in the ONNX graph.
 - [`tree_to_numpy.get_onnx_model`](./concrete.ml.sklearn.tree_to_numpy.md#function-get_onnx_model): Create ONNX model with Hummingbird convert method.
 - [`tree_to_numpy.preprocess_tree_predictions`](./concrete.ml.sklearn.tree_to_numpy.md#function-preprocess_tree_predictions): Apply post-processing from the graph.
 - [`tree_to_numpy.tree_onnx_graph_preprocessing`](./concrete.ml.sklearn.tree_to_numpy.md#function-tree_onnx_graph_preprocessing): Apply pre-processing onto the ONNX graph.

diff --git a/docs/developer-guide/api/concrete.ml.sklearn.tree_to_numpy.md b/docs/developer-guide/api/concrete.ml.sklearn.tree_to_numpy.md
@@ -56,6 +56,22 @@ ______________________________________________________________________
 
 <a href="../../../src/concrete/ml/sklearn/tree_to_numpy.py#L88"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
+## <kbd>function</kbd> `assert_add_node_and_constant_in_xgboost_regressor_graph`
+
+```python
+assert_add_node_and_constant_in_xgboost_regressor_graph(onnx_model: ModelProto)
+```
+
+Assert if an Add node with a specific constant exists in the ONNX graph.
+
+**Args:**
+
+- <b>`onnx_model`</b> (onnx.ModelProto):  The ONNX model.
+
+______________________________________________________________________
+
+<a href="../../../src/concrete/ml/sklearn/tree_to_numpy.py#L124"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
 ## <kbd>function</kbd> `add_transpose_after_last_node`
 
 ```python
@@ -70,7 +86,7 @@ Add transpose after last node.
 
 ______________________________________________________________________
 
-<a href="../../../src/concrete/ml/sklearn/tree_to_numpy.py#L109"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../src/concrete/ml/sklearn/tree_to_numpy.py#L145"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `preprocess_tree_predictions`
 
@@ -94,7 +110,7 @@ Apply post-processing from the graph.
 
 ______________________________________________________________________
 
-<a href="../../../src/concrete/ml/sklearn/tree_to_numpy.py#L159"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../src/concrete/ml/sklearn/tree_to_numpy.py#L195"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `tree_onnx_graph_preprocessing`
 
@@ -117,7 +133,7 @@ Apply pre-processing onto the ONNX graph.
 
 ______________________________________________________________________
 
-<a href="../../../src/concrete/ml/sklearn/tree_to_numpy.py#L208"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../src/concrete/ml/sklearn/tree_to_numpy.py#L251"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `tree_values_preprocessing`
 
@@ -144,7 +160,7 @@ Pre-process tree values.
 
 ______________________________________________________________________
 
-<a href="../../../src/concrete/ml/sklearn/tree_to_numpy.py#L252"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../src/concrete/ml/sklearn/tree_to_numpy.py#L295"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ## <kbd>function</kbd> `tree_to_numpy`
 

diff --git a/docs/developer-guide/api/concrete.ml.sklearn.xgb.md b/docs/developer-guide/api/concrete.ml.sklearn.xgb.md
@@ -240,7 +240,7 @@ Is None if the model is not fitted.
 
 ______________________________________________________________________
 
-<a href="../../../src/concrete/ml/sklearn/xgb.py#L334"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../src/concrete/ml/sklearn/xgb.py#L342"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>method</kbd> `dump_dict`
 
@@ -260,10 +260,20 @@ fit(X, y, *args, **kwargs) → Any
 
 ______________________________________________________________________
 
-<a href="../../../src/concrete/ml/sklearn/xgb.py#L382"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+<a href="../../../src/concrete/ml/sklearn/xgb.py#L390"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
 
 ### <kbd>classmethod</kbd> `load_dict`
 
 ```python
 load_dict(metadata: Dict)
 ```
+
+______________________________________________________________________
+
+<a href="../../../src/concrete/ml/sklearn/xgb.py#L334"><img align="right" style="float:right;" src="https://img.shields.io/badge/-source-cccccc?style=flat-square"></a>
+
+### <kbd>method</kbd> `post_processing`
+
+```python
+post_processing(y_preds: ndarray) → ndarray
+```
diff --git a/pyproject.toml b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "concrete-ml"
-version = "1.2.0"
+version = "1.2.1"
 description = "Concrete ML is an open-source set of tools which aims to simplify the use of fully homomorphic encryption (FHE) for data scientists."
 license = "BSD-3-Clause-Clear"
 authors = [

diff --git a/src/concrete/ml/version.py b/src/concrete/ml/version.py
@@ -1,3 +1,3 @@
 """File to manage the version of the package."""
 # Auto-generated by "make set_version" do not modify
-__version__ = "1.2.0"
+__version__ = "1.2.1"