be_great v0.0.9

What's Changed

• Added guided_sampling, a new functionality for more reliable data generation using feature-by-feature guidance patterns. This addresses several sampling issues reported in GitHub issue #45.
• Added float_precision parameter to the GReaT class which allows controlling the decimal precision of floating-point values. Setting this parameter helps reduce token usage and improve generation quality for numerical data.
• Improved error handling with clearer, more actionable feedback when sampling fails.
• minor: Set report_to=[] as default to disable Weights & Biases logging unless explicitly enabled.