Eo-learn

Latest version: v1.5.4

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0.7.7

- Support for `geopandas` version `0.8.0`
- Added a [notebook](https://github.com/sentinel-hub/eo-learn/blob/develop/examples/custom-script/machine-learning-evalscript.ipynb) with an end-to-end example on how to transform a ML-model into an evalscript and run it with Sentinel Hub service
- Added `eolearn.features.ClusteringTask`, contributed by bsircelj
- An option to define a custom log filter for `EOExecutor`
- Data mask obtained by `SentinelHubInputTask` has now boolean type instead of uint8
- Updates of some example notebooks
- A few minor fixes

0.7.6

- Added eo-learn dockerfiles and deployed official eo-learn docker images to [Docker Hub](https://hub.docker.com/r/sentinelhub/eolearn)
- Added `compress` parameter to `ExportToTiff`, contributed by atedstone
- Minor fixes

0.7.5

- Updated example notebooks - replaced OGC service tasks with Processing API service tasks
- Deprecated tasks that download data from Sentinel Hub OGC service
- Minor fixes in `SentinelHubInputTask` and `AddCloudMaskTask`

0.7.4

- Updates of `SentinelHubInputTask`:
* Support for new s2cloudless precomputed cloud mask ([more info](https://medium.com/sentinel-hub/cloud-masks-at-your-service-6e5b2cb2ce8a))
* Support for `config` parameter
- Updated `SI_LULC_pipeline` notebook.

0.7.3

- Added support for `geopandas` version `0.7.0`.
- Fixed a bug in `eolearn.core.eodata_io.save_eopatch` function.
- Improvement in `eolearn.mask.MaskFeature` task - it now works also works with time independent feature types.
- A minor improvement in `eolearn.io.SentinelHubInputTask` task.

0.7.2

- Support additional data in the Processing API input task (such as sunAzimuthAngles, sunZenithAngles, viewAzimuthMean, viewZenithMean)
- Compatibility with the `sentinelhub-py` 3.0
- Removed support for python 3.5
- Multiprocessing Log filtering

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