Gordo

Notable updates for this release

- LSTM AutoEncoder support (https://github.com/equinor/gordo-components/commit/bcfc97ce120a0115b00452006e4824cc5eb7878b, https://github.com/equinor/gordo-components/commit/179794d56244656649c1ded8bdba9d8ca39bf9a9)

- RandomDataset Provider (https://github.com/equinor/gordo-components/commit/8318bdb0de62306adc1d96d38040bad666c35ec2)

- `row_filter` for `TimeSeriesDataset` (https://github.com/equinor/gordo-components/commit/0c2627b70c5e3f0ddce9a37c41b5e339b09a5756, https://github.com/equinor/gordo-components/commit/f930a0e431631bf59e0281548b6f8604542e278b)

- Travis build upgrades (https://github.com/equinor/gordo-components/commit/0e087bc4384e3c56c77d9e27b616dd3dbb538f04, https://github.com/equinor/gordo-components/commit/9767c75d1016acbc0a50ed8c78f123f9aae9f722)

This is a bugfix release which fixes a performance degradation where tag-fetching started taking very long time (149)

- Support ability to download model from server via route GET /download-model (133). The model can be loaded using `gordo_components.serializer.loads`
- Add cross validation to build_model process w/ metadata (134). The default is to do a 3-fold CV with `explained-variance` as scoring. The values are available in the metadata under model.cross-validation.scores
- Add /prediction GET route to gordo ml server (100). Takes 'start' and 'end' query parameter timestamps and returns an array of dicts specifying details information about each request such as time range interval
named tags and their values, along with absolute abnormality score. Requires that access to an influx-database with raw values have been set up for the project.
- Add IROC reader to DataLakeBackedDataset (135). This allow gordo to transparently use IROC-data in the same way as NCS (Norwegian continental shelf)-data.

- Non-root user for the docker image 214

- DEFAULT_DEPLOY_ENVIRONMENT environment variable (210)