save validation batch results to wandb

[peterdudfield]

Pull Request

Description

Save csv of validation results to weights and biases

This is done by

• results being appended each validation step,
• saved all together at the end of the validation step

How Has This Been Tested?

CI tests

• local test with script

import wandb
import pandas as pd

run = wandb.init(
    project="test",
    notes="My first experiment",
)

# make random dataframe
df = pd.DataFrame({
    "a": [1, 2, 3],
    "b": [4, 5, 6]
})

i=2
validation_artifact = wandb.Artifact(f"validation_results_{i}", type="dataset")
df.to_csv(f"validation_results_{i}.csv", index=False)
validation_artifact.add_file(f"validation_results_{i}.csv")
wandb.log_artifact(validation_artifact)

• [ ] Yes

Checklist:

• [ ] My code follows OCF's coding style guidelines
• [ ] I have performed a self-review of my own code
• [ ] I have made corresponding changes to the documentation
• [ ] I have added tests that prove my fix is effective or that my feature works
• [ ] I have checked my code and corrected any misspellings

[dfulu]

I think there are a couple of things to sort out, but otherwise looks alright :)

[codecov[bot]]

Codecov Report

Attention: Patch coverage is 94.28571% with 2 lines in your changes missing coverage. Please review.

Project coverage is 59.62%. Comparing base (bdbe00a) to head (156fdfa). Report is 10 commits behind head on main.

Files with missing lines	Patch %	Lines
pvnet/models/base_model.py	94.28%	2 Missing :warning:

Additional details and impacted files

```diff @@ Coverage Diff @@ ## main #252 +/- ## ========================================== + Coverage 59.00% 59.62% +0.61% ========================================== Files 29 29 Lines 1893 1927 +34 ========================================== + Hits 1117 1149 +32 - Misses 776 778 +2 ```

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