docstr: Checks that unconstrained parameters yield finite joint densities.
docstr_tok: ["Checks","that","unconstrained","parameters","yield","finite","joint","densities","."]
code: def testLorenzSystemUnknownScales(self):
      """Checks that unconstrained parameters yield finite joint densities."""
      dataset = _test_dataset()
      del dataset["innovation_scale"]
      del dataset["observation_scale"]
      model = lorenz_system.LorenzSystemUnknownScales(
          use_markov_chain=True, **dataset
      )
      self.validate_log_prob_and_transforms(
          model,
          sample_transformation_shapes=dict(
              identity={
                  "innovation_scale": [],
                  "observation_scale": [],
                  "latents": [30, 3],
              }
          ),
      )
  
imports: import functools
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from inference_gym.internal import test_util
  from inference_gym.targets import lorenz_system
label_desc: Use image node_id 1 for calling the LorenzSystemUnknownScalesTest obj's underlying member method code with example usage: obj.testLorenzSystemUnknownScales() without return types