v0.7.0

[0.7.0] - 2026-07-11

Project from the canonical Experience (breaking).

• Remove ClaimExperience; the projection pipeline consumes
  actuarialpy.Experience directly.
• Add project(exp, ...): the single projection entrypoint. Named parameters
  are the pipeline phases (completion, seasonality, trend, credibility,
  complement); record grain defaults to the Experience's bound dimensions,
  and the claim-type dimension is inferred as the grain column absent from
  the exposure frame (pass claim_type= when ambiguous).
• Add base_rates(exp, ...) and prepare_experience(exp, ...) as public
  steps of the same pipeline; ClaimProjection is unchanged as the engine
  and ClaimProjection.from_experience is removed in favor of project.
• Requires actuarialpy>=0.45.
• project() coerces raw assumption values (scalar trend and credibility,
  Series/mapping completion and seasonality) into assumption objects, and
  resolves the exposure frame's column from the bound exposure role name.
• project() consumes wide from_tables Experiences directly: the recorded
  pivot melts itself into the claim-type dimension, non-pivot expense columns
  are announced as excluded, and ambiguity asks for claim_type=.
• seasonality="estimate" fits factors from the bound history via
  estimate_seasonality; completion="estimate" explains what development
  columns estimation needs instead of guessing.