[FIX] Refactor to expose endpoints #132
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This PR refactors the
TimeGPTclass to have more direct access to the client's endpoint. Before this PR, the endpoints were highly nested across multiple endpoints, which created a nested architecture of the model's parameters (such asfreqandh), making adding new endpoints and features difficult. This propose encapsulates reusable parameters in a new class_TimeGPTModelwhose methods are only related to data frame inputs and additional parameters only related to the specific method or endpoint.