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Building up cone.
# Release 0.1.3 - Removed the need for a fork of TensorFlow. Some of our bespoke ops are replaced by equivalent versions. # Release 0.1.2 - Included the ability to compute the full covaraince matrix at predict time. See `GPModel.predict_f` - Included the ability to sample from the posterior function values. See `GPModel.predict_f_samples` - Unified code in conditionals.py: see deprecations in `gp_predict`, etc. - Added SGPR method (Sparse GP Regression) # Release 0.1.1 - included the ability to use tensorflow's optimizers as well as the scipy ones # Release 0.1.0 The initial release of GPflow.