More informative failure messages

Below is an example of one of these error messages
```
Traceback (most recent call last):
File "/home/centos/birdman/run_single_feature.py", line 110, in
model.fit_model(
File "/home/centos/miniconda3/envs/birdman/lib/python3.11/site-packages/birdman/model_base.py", line 173, in fit_model
self.fit = self.sm.sample(
^^^^^^^^^^^^^^^
File "/home/centos/miniconda3/envs/birdman/lib/python3.11/site-packages/cmdstanpy/model.py", line 1201, in sample
raise RuntimeError(msg)
RuntimeError: Error during sampling:
Exception: mismatch in dimension declared and found in context; processing stage=data initialization; variable name=x_TP; position=0; dims declared=(131); dims found=(149) (in '/home/centos/birdman/model.stan', line 10, column 2 to column 38)
Exception: mismatch in dimension declared and found in context; processing stage=data initialization; variable name=x_TP; position=0; dims declared=(131); dims found=(149) (in '/home/centos/birdman/model.stan', line 10, column 2 to column 38)
Exception: mismatch in dimension declared and found in context; processing stage=data initialization; variable name=x_TP; position=0; dims declared=(131); dims found=(149) (in '/home/centos/birdman/model.stan', line 10, column 2 to column 38)
Exception: mismatch in dimension declared and found in context; processing stage=data initialization; variable name=x_TP; position=0; dims declared=(131); dims found=(149) (in '/home/centos/birdman/model.stan', line 10, column 2 to column 38)
Command and output files:
RunSet: chains=4, chain_ids=[1, 2, 3, 4], num_processes=4
cmd (chain 1):
['/home/centos/birdman/model', 'id=1', 'random', 'seed=0', 'data', 'file=/tmp/tmp199y9rwi/z_66ve5j.json', 'output', 'file=/tmp/tmp199y9rwi/modeln3c79wls/model-20230925191211_1.csv', 'method=sample', 'num_samples=500', 'num_warmup=500', 'algorithm=hmc', 'adapt', 'engaged=1']
retcodes=[1, 1, 1, 1]
per-chain output files (showing chain 1 only):
csv_file:
/tmp/tmp199y9rwi/modeln3c79wls/model-20230925191211_1.csv
console_msgs (if any):
/tmp/tmp199y9rwi/modeln3c79wls/model-20230925191211_0-stdout.txt
```

From the error message, it looks like there is a dimension mismatch. After deeper investigation, it looks like a dimension mismatch between the sampleids in the biom table and the metadata.

Given that this is a common use-case, we could probably include a validation step in the ABC of FeatureModel to check to make sure that the biom table and the metadata are properly synced, and give a more informative error message if they aren't. Something as following may suffice

```python
common_ids = list(set(metadata.index) & set(table.ids()))
metadata = metadata.loc[common_ids]
table.filter(metadata.index, inplace=True)
if len(metadata) == 0 or len(table.ids()) == 0:
raise ValueError('Biom Table sample ids and sample metadata ids are not overlapping')
```

Start at the ABC of FeatureModel, where the biom table and sample metadata enter the model, and trace how their sample IDs reach sampling. Add validation for non-overlapping or mismatched IDs with an informative error, then check the existing test suite for coverage of model input validation and confirm the reported failure is replaced by the clearer message.

Written by the indexing model from the issue text.