Concrete-ml

Latest version: v1.5.0

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1.5.0

Feature
* Add new approx rounding ([`9ef890e`](https://github.com/zama-ai/concrete-ml/commit/9ef890e7c1ea3ebf7ce32637413a8e633bff0405))
* Encrypted data-frame ([`d2d6250`](https://github.com/zama-ai/concrete-ml/commit/d2d6250c90da3852610fd21e4343ad21083cc7db))
* Support conv1d operator ([`09ad7a6`](https://github.com/zama-ai/concrete-ml/commit/09ad7a6923885351eb0fee1db93c47a35b3135d2))
* Implement quantized unfold ([`fa3ef88`](https://github.com/zama-ai/concrete-ml/commit/fa3ef88257be0cf5b7f31f292f9114a24470509d))

Fix
* Disable overflow protection in rounding ([`4db0157`](https://github.com/zama-ai/concrete-ml/commit/4db0157f87e42998a07b757f5fd20d8843f1159d))
* Fix survey link ([`e5661c1`](https://github.com/zama-ai/concrete-ml/commit/e5661c161c2afb69cf9a033582a888d8fb1009af))
* Reinstate apidoc generated tags ([`2878a07`](https://github.com/zama-ai/concrete-ml/commit/2878a07403c468b45b295106569e79627beed4c8))
* Make skorch import fail without error ([`81de55c`](https://github.com/zama-ai/concrete-ml/commit/81de55c8abcc7bc8318b7042b33d703cd775daa7))
* Replace python release install with setup-python ([`899b9f1`](https://github.com/zama-ai/concrete-ml/commit/899b9f1cb0511c2f7755f13bdb3c07cb0ab7444c))
* Fix concurrency issue in release process ([`1295ea9`](https://github.com/zama-ai/concrete-ml/commit/1295ea9cbd7f1c350d8e17aa6e6ba0edac5d06e8))
* Add support to AvgPool's missing parameters ([`15a8340`](https://github.com/zama-ai/concrete-ml/commit/15a83403ebf3d222c62df11729f83d95b49bce41))
* Update README.md ([`ba1fdad`](https://github.com/zama-ai/concrete-ml/commit/ba1fdadf36fb62c0f48d9ac578dc4c3b470620bc))

Documentation
* Add dataframe documentation ([576](https://github.com/zama-ai/concrete-ml/issues/576)) ([`d3bf5ac`](https://github.com/zama-ai/concrete-ml/commit/d3bf5ac785339ca8260d255fd884213cf423c602))
* Update main landing pages ([`cfb862e`](https://github.com/zama-ai/concrete-ml/commit/cfb862ef2a0d798209abc4a435b5f1457b0fdeae))
* New structure and landing page ([`85cb962`](https://github.com/zama-ai/concrete-ml/commit/85cb962649c7c4c649acee4fc98530c874391aa4))
* Update operator list in torch support's documentation section ([`b617740`](https://github.com/zama-ai/concrete-ml/commit/b617740dbc4a045e24f94edca13a07a0cb8738c1))
* Add links to credit card approval space in use case examples ([`df81aca`](https://github.com/zama-ai/concrete-ml/commit/df81aca48809d2598e70c0507d946c52564f9357))
* Improve contributing section ([`1696799`](https://github.com/zama-ai/concrete-ml/commit/1696799d2b2f706df061af4d75a1c50fddf8624e))
* Document n_bits for compile torch functions ([`0306c65`](https://github.com/zama-ai/concrete-ml/commit/0306c65e8610b92c496352f128b3c8d81bc8aa13))
* Add explanation of encrypted training and federated learning ([`57dbdff`](https://github.com/zama-ai/concrete-ml/commit/57dbdffb7cf44680289d8d04a200b98f7ee04fed))
* Add documentation about scaling ([`9252f57`](https://github.com/zama-ai/concrete-ml/commit/9252f5771d69b718f10f6fbc086fb4319b788290))

1.5.0rc1

Feature
* Add new approx rounding ([`9ef890e`](https://github.com/zama-ai/concrete-ml/commit/9ef890e7c1ea3ebf7ce32637413a8e633bff0405))
* Encrypted data-frame ([`d2d6250`](https://github.com/zama-ai/concrete-ml/commit/d2d6250c90da3852610fd21e4343ad21083cc7db))
* Support conv1d operator ([`09ad7a6`](https://github.com/zama-ai/concrete-ml/commit/09ad7a6923885351eb0fee1db93c47a35b3135d2))
* Implement quantized unfold ([`fa3ef88`](https://github.com/zama-ai/concrete-ml/commit/fa3ef88257be0cf5b7f31f292f9114a24470509d))

Fix
* Fix survey link ([`e5661c1`](https://github.com/zama-ai/concrete-ml/commit/e5661c161c2afb69cf9a033582a888d8fb1009af))
* Reinstate apidoc generated tags ([`2878a07`](https://github.com/zama-ai/concrete-ml/commit/2878a07403c468b45b295106569e79627beed4c8))
* Make skorch import fail without error ([`81de55c`](https://github.com/zama-ai/concrete-ml/commit/81de55c8abcc7bc8318b7042b33d703cd775daa7))
* Replace python release install with setup-python ([`899b9f1`](https://github.com/zama-ai/concrete-ml/commit/899b9f1cb0511c2f7755f13bdb3c07cb0ab7444c))
* Fix concurrency issue in release process ([`1295ea9`](https://github.com/zama-ai/concrete-ml/commit/1295ea9cbd7f1c350d8e17aa6e6ba0edac5d06e8))
* Add support to AvgPool's missing parameters ([`15a8340`](https://github.com/zama-ai/concrete-ml/commit/15a83403ebf3d222c62df11729f83d95b49bce41))
* Update README.md ([`ba1fdad`](https://github.com/zama-ai/concrete-ml/commit/ba1fdadf36fb62c0f48d9ac578dc4c3b470620bc))

Documentation
* Add dataframe documentation ([576](https://github.com/zama-ai/concrete-ml/issues/576)) ([`d3bf5ac`](https://github.com/zama-ai/concrete-ml/commit/d3bf5ac785339ca8260d255fd884213cf423c602))
* Update main landing pages ([`cfb862e`](https://github.com/zama-ai/concrete-ml/commit/cfb862ef2a0d798209abc4a435b5f1457b0fdeae))
* New structure and landing page ([`85cb962`](https://github.com/zama-ai/concrete-ml/commit/85cb962649c7c4c649acee4fc98530c874391aa4))
* Update operator list in torch support's documentation section ([`b617740`](https://github.com/zama-ai/concrete-ml/commit/b617740dbc4a045e24f94edca13a07a0cb8738c1))
* Add links to credit card approval space in use case examples ([`df81aca`](https://github.com/zama-ai/concrete-ml/commit/df81aca48809d2598e70c0507d946c52564f9357))
* Improve contributing section ([`1696799`](https://github.com/zama-ai/concrete-ml/commit/1696799d2b2f706df061af4d75a1c50fddf8624e))
* Document n_bits for compile torch functions ([`0306c65`](https://github.com/zama-ai/concrete-ml/commit/0306c65e8610b92c496352f128b3c8d81bc8aa13))
* Add explanation of encrypted training and federated learning ([`57dbdff`](https://github.com/zama-ai/concrete-ml/commit/57dbdffb7cf44680289d8d04a200b98f7ee04fed))
* Add documentation about scaling ([`9252f57`](https://github.com/zama-ai/concrete-ml/commit/9252f5771d69b718f10f6fbc086fb4319b788290))

1.5.0rc0

Feature
* Support conv1d operator ([`09ad7a6`](https://github.com/zama-ai/concrete-ml/commit/09ad7a6923885351eb0fee1db93c47a35b3135d2))
* Implement quantized unfold ([`fa3ef88`](https://github.com/zama-ai/concrete-ml/commit/fa3ef88257be0cf5b7f31f292f9114a24470509d))

Fix
* Make skorch import fail without error ([`81de55c`](https://github.com/zama-ai/concrete-ml/commit/81de55c8abcc7bc8318b7042b33d703cd775daa7))
* Replace python release install with setup-python ([`899b9f1`](https://github.com/zama-ai/concrete-ml/commit/899b9f1cb0511c2f7755f13bdb3c07cb0ab7444c))
* Fix concurrency issue in release process ([`1295ea9`](https://github.com/zama-ai/concrete-ml/commit/1295ea9cbd7f1c350d8e17aa6e6ba0edac5d06e8))
* Add support to AvgPool's missing parameters ([`15a8340`](https://github.com/zama-ai/concrete-ml/commit/15a83403ebf3d222c62df11729f83d95b49bce41))
* Update README.md ([`ba1fdad`](https://github.com/zama-ai/concrete-ml/commit/ba1fdadf36fb62c0f48d9ac578dc4c3b470620bc))

Documentation
* Update operator list in torch support's documentation section ([`b617740`](https://github.com/zama-ai/concrete-ml/commit/b617740dbc4a045e24f94edca13a07a0cb8738c1))
* Add links to credit card approval space in use case examples ([`df81aca`](https://github.com/zama-ai/concrete-ml/commit/df81aca48809d2598e70c0507d946c52564f9357))
* Improve contributing section ([`1696799`](https://github.com/zama-ai/concrete-ml/commit/1696799d2b2f706df061af4d75a1c50fddf8624e))
* Document n_bits for compile torch functions ([`0306c65`](https://github.com/zama-ai/concrete-ml/commit/0306c65e8610b92c496352f128b3c8d81bc8aa13))
* Add explanation of encrypted training and federated learning ([`57dbdff`](https://github.com/zama-ai/concrete-ml/commit/57dbdffb7cf44680289d8d04a200b98f7ee04fed))
* Add documentation about scaling ([`9252f57`](https://github.com/zama-ai/concrete-ml/commit/9252f5771d69b718f10f6fbc086fb4319b788290))

1.4.1

Fix
* Make skorch import fail without error ([`5863a4b`](https://github.com/zama-ai/concrete-ml/commit/5863a4b5fa313e0ef0cf8e93ab28a9a35d8683cb))
* Replace python release install with setup-python ([`f41c65c`](https://github.com/zama-ai/concrete-ml/commit/f41c65c464a43e0af7da74126f6367b092b19ec1))
* Update README.md ([`8bef8e5`](https://github.com/zama-ai/concrete-ml/commit/8bef8e5f8f217f4fa768e9070d99484c1e826585))
* Add support to AvgPool's missing parameters ([`559d99c`](https://github.com/zama-ai/concrete-ml/commit/559d99cda6dbdb8a77de5b568baf7cf9763e9fde))

Documentation
* Document n_bits for compile torch functions ([`065df89`](https://github.com/zama-ai/concrete-ml/commit/065df894b5de589325ca0d5bf15e6b83203a016a))
* Add explanation of encrypted training and federated learning ([`8002ed8`](https://github.com/zama-ai/concrete-ml/commit/8002ed8ce700c3395f7cd464b9f680b4a6df2d5c))
* Add documentation about scaling ([`1bad5cc`](https://github.com/zama-ai/concrete-ml/commit/1bad5cca8db5d20b00e82131cf0ed896ad21644e))

1.4.0

Links

1.4.0rc2

Feature
* SGDClassifier training in FHE ([`0893718`](https://github.com/zama-ai/concrete-ml/commit/0893718f4fba5789abd8d7588f3dd2ef15440225))
* Support Expand Equal ONNX op ([`cf3ce49`](https://github.com/zama-ai/concrete-ml/commit/cf3ce492dd9d9a433545bd1b827b211fda660bd8))
* Add rounding feature on cml trees ([`064eb82`](https://github.com/zama-ai/concrete-ml/commit/064eb821a2171ba921ed327deded5b2f1d12e7c6))
* Add multi-output support ([`fef23a9`](https://github.com/zama-ai/concrete-ml/commit/fef23a9c85bbac02dc3a1651fe5808152aed894f))
* Allow QuantizedAdd produces_output_graph ([`0b57c71`](https://github.com/zama-ai/concrete-ml/commit/0b57c71140cca7535d1f5bdc0c088b205e28cbb5))
* Encrypted gemm support - 3d inputs - better rounding control - sgd training test ([`111c7e3`](https://github.com/zama-ai/concrete-ml/commit/111c7e314f12c072e44fc5a4615219a765d1a5ee))

Fix
* Add --no-warnings flag to linkchecker ([`1dc547e`](https://github.com/zama-ai/concrete-ml/commit/1dc547e093e9aa5f7437325e132cdf8732f52f0b))
* Fix wrong assumption in ReduceSum operator's axis parameter ([`1a592d7`](https://github.com/zama-ai/concrete-ml/commit/1a592d751659c0fdec86c88f75d370f87439cd4f))
* Mark flaky tests due to issue in simulation ([`4f67883`](https://github.com/zama-ai/concrete-ml/commit/4f678839f1b2e9b3b53e7175fb6da07cb8932876))
* Update learning rate default value for XGB models ([`e4984d6`](https://github.com/zama-ai/concrete-ml/commit/e4984d6a2085955187ac3797e4ef7adef897de42))

Documentation
* Update api doc ([`d8e9e64`](https://github.com/zama-ai/concrete-ml/commit/d8e9e648055346a888eb53cd7b986141b9aae093))
* Update Apple Silicon install information ([`4c0c02f`](https://github.com/zama-ai/concrete-ml/commit/4c0c02f15672313f641b92df22f107343fbfb647))

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