Submit evaluation results for ChakraTS

Evaluation results of ChakraTS on the TIME benchmark: 98/98 tasks, `config.json`, `metrics.npz` and `predictions.npz` per task, plus a summary README.

ChakraTS is a pretrained time-series model from YHat Labs, served through an API (model card: https://huggingface.co/yhatlabs/ChakraTS). The results are zero-shot for its TIME configuration (`chakra-ts-time`); no TIME data was used in training. Univariate forecasting of every variate, full context per window, quantiles 0.1 to 0.9, written with `save_window_predictions` at the official task settings. `scripts/compute_local_leaderboard.py` on this folder gives MASE (norm.) 0.639 / CRPS (norm.) 0.537.

Thank you for maintaining TIME.

results/ChakraTS/Australia_Solar/H/long/config.json

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results/ChakraTS/Australia_Solar/H/medium/config.json

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results/ChakraTS/Australia_Solar/H/short/config.json

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results/ChakraTS/Auto_Production_SF/M/short/config.json

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results/ChakraTS/CPHL/15T/long/config.json

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results/ChakraTS/CPHL/15T/medium/config.json

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results/ChakraTS/CPHL/30T/long/config.json

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