Concrete-ml

Feature
* Add a XGBoost regression tutorial ([1911](https://github.com/zama-ai/concrete-ml-internal/issues/1911)) ([`174f6f7`](https://github.com/zama-ai/concrete-ml-internal/commit/174f6f7b8cf2594eefe89c4570e0cfbfeb85d306))
* Add encrypted sentiment analysis demo ([`fd684df`](https://github.com/zama-ai/concrete-ml-internal/commit/fd684dfccc06a74fc45b872389ef93ff39709fe4))
* Make net_inputs and net_ouputs optional ([`5ed9476`](https://github.com/zama-ai/concrete-ml-internal/commit/5ed9476ba19e04df90631a7503ce8a938627f594))
* Add RandomForestRegressor ([`0c7853c`](https://github.com/zama-ai/concrete-ml-internal/commit/0c7853c4f6213a179407583b876bec5e463d7178))
* Add XGBRegressor ([`9736557`](https://github.com/zama-ai/concrete-ml-internal/commit/97365570457757781ba51f3a9992812013dd947e))
* Add tree-regressor ([`5b12d53`](https://github.com/zama-ai/concrete-ml-internal/commit/5b12d53df5d0ec2ed153f37556ab031c1f2dfc33))
* Add Ridge, Lasso and ElasticNet regression models. ([`675c7b3`](https://github.com/zama-ai/concrete-ml-internal/commit/675c7b31b956d50f7555a6be1f78215491c77236))
* Import Quantized Brevitas ONNX graphs and upgrade QAT notebook ([`13d8d74`](https://github.com/zama-ai/concrete-ml-internal/commit/13d8d7471fac0a0c34653a5cac0fd57f34bcf770))

Fix
* Remove pygraphviz dependancy ([`f708ba7`](https://github.com/zama-ai/concrete-ml-internal/commit/f708ba7a6fe2a31d3302e88c571336b91696adc9))
* Flaky client server ([1927](https://github.com/zama-ai/concrete-ml-internal/issues/1927)) ([`d162cd6`](https://github.com/zama-ai/concrete-ml-internal/commit/d162cd6e0fdeb28ed4ae0672a7d021307cb66b92))
* Tweedie overflow underterministic bug ([`922d60e`](https://github.com/zama-ai/concrete-ml-internal/commit/922d60eb530fad648b49aa7c67ed553bf43286da))
* XGBRegressor verifies that n_targets is 1 ([`a15fe9d`](https://github.com/zama-ai/concrete-ml-internal/commit/a15fe9d24a965308b6fafdf2e8da965b1ea2a9c6))
* Make linear models with fit_intercept=False possible ([`90a50b4`](https://github.com/zama-ai/concrete-ml-internal/commit/90a50b404fde979f752620ea4fc70ce71b91c85d))
* Add quantize_inputs_with_net_outputs_precision to calibration process ([`1dd9ba3`](https://github.com/zama-ai/concrete-ml-internal/commit/1dd9ba32720a138af9ab6519ddeee14b9c5d1bec))

Documentation
* Update p_error with api call ([`d214216`](https://github.com/zama-ai/concrete-ml-internal/commit/d21421687f619aacbd0787fea606485f12e0fbea))
* Improve ClassifierComparison notebook ([`f45b79f`](https://github.com/zama-ai/concrete-ml-internal/commit/f45b79f3bd72315c0eb084f2a1a51ae57cff37f2))
* Integration of API docs with lazydocs ([`985d0d5`](https://github.com/zama-ai/concrete-ml-internal/commit/985d0d5a57d8c7599cc62132862a2a82eeab5f56))
* Major Revision of Inner Workings and integration of Quantization Aware Training ([`accfd3e`](https://github.com/zama-ai/concrete-ml-internal/commit/accfd3eea736e321e97c487153f3a21fcfb7c8b3))
* Improve contribution doc ([`0a0534a`](https://github.com/zama-ai/concrete-ml-internal/commit/0a0534ae29fa185c25d6935d72fac6b97f05c6b3))
* Adding new models to the docs ([`081d8f9`](https://github.com/zama-ai/concrete-ml-internal/commit/081d8f9a8d75bb2b9b155287966afe8aef923d46))
* Be more precise on installation ([`88fed0b`](https://github.com/zama-ai/concrete-ml-internal/commit/88fed0b517f02c12aeb79639c1fd1a847db70c2c))
* Improve our README ([`b2d81e4`](https://github.com/zama-ai/concrete-ml-internal/commit/b2d81e44e58fcf94f0992a908553e24b84b433f9))
* Decrease net_ouputs values from 8 to 5 bits in notebooks ([`49717bf`](https://github.com/zama-ai/concrete-ml-internal/commit/49717bf4084651a42ba752fc42b93c77f7773d13))
* Add comment about tqdm in linear.md ([`ba06e5e`](https://github.com/zama-ai/concrete-ml-internal/commit/ba06e5ecfc033fd5e270a08fc2760be225b29698))
* Update the LICENSE ([`30b2b27`](https://github.com/zama-ai/concrete-ml-internal/commit/30b2b27762cbcf88d35435b47b461729b43d0f5f))
* Add tqdm and remove inference slicing in titanic notebook ([`4419438`](https://github.com/zama-ai/concrete-ml-internal/commit/4419438834cb79db343cb21ce71de978f4febc2f))

Feature
* Allow recompiling from onnx model ([`9b69e73`](https://github.com/zama-ai/concrete-ml/commit/9b69e73667efa233c4649b6cf4379b15a8d7d6e3))
* Adding support for p_error ([`fe03441`](https://github.com/zama-ai/concrete-ml/commit/fe03441331b0b2eac558fe6feb19c4c8450771d9))
* Adding GELU activation ([`c732d15`](https://github.com/zama-ai/concrete-ml/commit/c732d150fb30ad14ae787b2586a22d4c91269e01))
* Add random_state to models for client server reproducibility ([`6f887d0`](https://github.com/zama-ai/concrete-ml/commit/6f887d0ac590821c648e6aa6a504cff7fbc52790))
* Add QAT notebook ([`64c4512`](https://github.com/zama-ai/concrete-ml/commit/64c4512c47181f6df94cbc378605d44221ba82ce))
* Import Brevitas QAT networks ([`6c40a0c`](https://github.com/zama-ai/concrete-ml/commit/6c40a0c7c3765012766592a74db99430c5a373e5))
* Integration of the encrypt decrypt api ([`3c2a68a`](https://github.com/zama-ai/concrete-ml/commit/3c2a68a24da3e129c1650676f96642cceb0e0256))
* Support more input types in predict() ([`76e142c`](https://github.com/zama-ai/concrete-ml/commit/76e142ccd565793a6929cafd3ce82b07665541f0))
* Support more input types in fit() ([`1fa74f7`](https://github.com/zama-ai/concrete-ml/commit/1fa74f7bbf5a1ffd2ac3a3927e78ff7e0cf4d5e9))
* Add Round and Pow operators ([`d6880ce`](https://github.com/zama-ai/concrete-ml/commit/d6880ce9c8cd037504624d182c59d573483ef071))
* Ability to import Quantization Aware Training networks ([`c1bb947`](https://github.com/zama-ai/concrete-ml/commit/c1bb9479c7d4f55c33eb1a0c7a488c57515b2b8e))
* Compile user supplied ONNX to support keras/tf ([`fae3dc5`](https://github.com/zama-ai/concrete-ml/commit/fae3dc5b226f8b3ae98a54807cb661767e69beb3))
* Implement Generalized Linear Regression models ([`8e8e025`](https://github.com/zama-ai/concrete-ml/commit/8e8e025771f8a6abff95c752697d9d40aae9d2ab))
* Add SoftSign activation ([`3ce338e`](https://github.com/zama-ai/concrete-ml/commit/3ce338e9a29be1ce8a69763b24dda90a5828f812))
* Adding more activations ([`e43ce5c`](https://github.com/zama-ai/concrete-ml/commit/e43ce5c2481e39f7cb45529a912bb652d81c54a1))
* Implement Poisson Regression ([`09eefa5`](https://github.com/zama-ai/concrete-ml/commit/09eefa5faaad8d24ba31a439b270d4a0b54f21ea))
* Use the 8b of precision of Concrete Numpy ([`249c712`](https://github.com/zama-ai/concrete-ml/commit/249c712a0757e3971d2bb1a7d375f718abdf5c6b))
* Add ONNX flatten support ([`c5f215f`](https://github.com/zama-ai/concrete-ml/commit/c5f215f5ec7132662c99c59b8819d8564f77005f))
* Handle more tree-based classifiers ([`950cc6c`](https://github.com/zama-ai/concrete-ml/commit/950cc6c7b0cf4563f6745a7966f2d709f51fb78b))
* Add Batch Normalization ONNX operator ([`7969739`](https://github.com/zama-ai/concrete-ml/commit/796973954b69cbeb7b362d9f1217c7c2b3468330))
* Add Where, Greater, Mul, Sub ONNX operator support ([`f939149`](https://github.com/zama-ai/concrete-ml/commit/f9391495274a5e0f24b7a46c830c429fb6f80e55))
* Add ONNX Average Pooling and Pad operator ([`40f1ef9`](https://github.com/zama-ai/concrete-ml/commit/40f1ef9455931be72397912fd69fa759800f8468))
* Add more activation functions ([`26b2221`](https://github.com/zama-ai/concrete-ml/commit/26b222181a8f0ed0bd6aec5f95eaf6eb94cb5413))

Fix
* Make tree inference faster by creating new numpy boolean operators ([`206caa5`](https://github.com/zama-ai/concrete-ml/commit/206caa5eec8f2e5db2530cf78069af060682e64e))
* Set a compatible version for protobuf ([`97ccfc0`](https://github.com/zama-ai/concrete-ml/commit/97ccfc053ad639842314bd4ba58ef22f6c6e985e))
* Improve IRIS FCNN FHE accuracy and visualization ([`02e497c`](https://github.com/zama-ai/concrete-ml/commit/02e497c50ad1a9634cbd9860baf1b0c9aa1fcf7b))
* Replace __init__ call by set_params ([`111419e`](https://github.com/zama-ai/concrete-ml/commit/111419e568761f59c1414fa188ecff01176f7350))
* Fix wrong fit_benchmark in linear models ([`f257def`](https://github.com/zama-ai/concrete-ml/commit/f257defebd67fa6b7e8342b9fcf46d52c9e3ee47))
* Fix GridSearchCV on trees ([`b614285`](https://github.com/zama-ai/concrete-ml/commit/b61428596aab98c1f7f1fa31aedf69ff46394bb0))
* Support decision tree with custom classes ([`baa3b4d`](https://github.com/zama-ai/concrete-ml/commit/baa3b4d46773d8918c09a28ed41e4f69ef8c2dc3))

Documentation
* Major refresh of 0.3 doc ([`e5e3205`](https://github.com/zama-ai/concrete-ml/commit/e5e320518a5841cc7880ef27cdb3bdc4c6097404))
* Add sentiment classification notebook ([`68ae7d0`](https://github.com/zama-ai/concrete-ml/commit/68ae7d0f946a743dfff6539876d4127c12375365))
* Restrict hyperparameters in titanic notebook for faster inference ([`9b63c8a`](https://github.com/zama-ai/concrete-ml/commit/9b63c8a923f76f45003354b77e3ed3061f408eb4))
* QAT explanation ([`9430ba6`](https://github.com/zama-ai/concrete-ml/commit/9430ba627a5576457c57b3fb35384d31008b47d2))
* Document ONNX compilation ([`972d05e`](https://github.com/zama-ai/concrete-ml/commit/972d05e8e8322d899d37830c5311243ccd17f563))
* Explain quantized vs float ops and fusing ([`fb9b409`](https://github.com/zama-ai/concrete-ml/commit/fb9b4090606a5a37afeb4a0b4afc6f930a1cd6ae))
* Add doc for pandas support ([`34652ce`](https://github.com/zama-ai/concrete-ml/commit/34652ce4e9ae7c414c26a10372b336b4f7e9f3d4))
* Add notebook and docs client server api ([`99ff1e7`](https://github.com/zama-ai/concrete-ml/commit/99ff1e73edc9dfc1384588a85289b669dc8505ff))
* Developing custom models ([`1c6f571`](https://github.com/zama-ai/concrete-ml/commit/1c6f571ea27b276acd6fee689e75a4b84b1f367b))
* Explain built-in quantized Neural Networks ([`972d464`](https://github.com/zama-ai/concrete-ml/commit/972d4645cc763035a743dd7fdd7dfddc7f91dcfc))
* Add a notebook for Kaggle Titanic competition ([`0a44853`](https://github.com/zama-ai/concrete-ml/commit/0a448539db58307c6887b18e3045cc7e023fc853))

Fix
* Set a compatible version for protobuf ([`4dd46cf`](https://github.com/zama-ai/concrete-ml/commit/4dd46cf8b73dbc8f09370fb919d8177312ec8f9a))
* Force ONNX package version to 1.11.0 in CLM 0.2 ([`fa90586`](https://github.com/zama-ai/concrete-ml/commit/fa90586c1b3757be966cd658d09c4a23147a9eb7))

Documentation
* Update the LICENSE ([`38c1062`](https://github.com/zama-ai/concrete-ml/commit/38c106220cb10a3ab232fd22191b74ced5b49f6e))

Breaking Changes (as compared to 0.1.x)

* `run` method is renamed to `encrypt_run_decrypt` after changes in Concrete-Numpy 0.5.0. Individual APIs to encrypt/run/decrypt separately will be available in a further release of Concrete-ML

Feature
* Some breaking changes in Concrete Numpy API. ([`ecbb26e`](https://github.com/zama-ai/concrete-ml/commit/ecbb26ec89b2a9ba86d8cc5f7ade3c1b50837341))
* Using Concrete Numpy 0.5 ([`ee5987b`](https://github.com/zama-ai/concrete-ml/commit/ee5987bf03e0a90ef64b337cf530bbdcface8f60))
* Add multiclass xgboost ([`9247f35`](https://github.com/zama-ai/concrete-ml/commit/9247f35cbb50b98b23d4ce73e2cc69424cf23e4a))
* Adding a `set_version_and_push` command to the makefile ([`ab853c2`](https://github.com/zama-ai/concrete-ml/commit/ab853c2726dcecb93c085060ed81053008f99c64))
* Add multiclass capability to decision trees ([`df0a64d`](https://github.com/zama-ai/concrete-ml/commit/df0a64d2eb0c83244fd5a2b7a9f130368a4d509b))

Fix
* Fixing Pypi's Homepage button link ([`bf52514`](https://github.com/zama-ai/concrete-ml/commit/bf52514b876291462281d7f52039a646eddffbea))

Breaking
* The API `.forward_fhe.run()` has been renamed into `.forward_fhe.encrypt_run_decrypt()` ([`ecbb26e`](https://github.com/zama-ai/concrete-ml/commit/ecbb26ec89b2a9ba86d8cc5f7ade3c1b50837341))

Documentation
* Reorganize index page ([`f1bafff`](https://github.com/zama-ai/concrete-ml/commit/f1bafffcc9807dbaf24fe777466e652d23f03895))

Feature
* Add multiclass capability to decision trees ([`6f9651e`](https://github.com/zama-ai/concrete-ml/commit/6f9651e4052a7fd2c56532cb061fa122093d02a4))
* Update to Concrete Numpy 0.4.0 and update the theme. ([`27839be`](https://github.com/zama-ai/concrete-ml/commit/27839be8f8713d16c2efe5d764cf4372313be255))

Fix
* Fixing Pypi's Homepage button link ([`d1c0e5d`](https://github.com/zama-ai/concrete-ml/commit/d1c0e5d2b0f3edbde39c0cff62b8812d67f541cf))
* Broken links in README.md ([`0c47668`](https://github.com/zama-ai/concrete-ml/commit/0c476683a57274de5863678d9be100012c84e7dc))

Documentation
* Reorganize index page ([`349c947`](https://github.com/zama-ai/concrete-ml/commit/349c947ebda9fb00442d0860c9fa81990bcf2761))