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GradientBoostedTreesModeltest

Tabular Classification
Keras
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testing from colab

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  1. README.md +53 -0
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README.md ADDED
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+ ---
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+ library_name: keras
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+ tags:
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+ - object-detection
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+ - newtag
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+ ---
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+
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+ | Hyperparameters | Value |
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+ | :-- | :-- |
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+ | name | RMSprop |
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+ | weight_decay | None |
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+ | clipnorm | None |
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+ | global_clipnorm | None |
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+ | clipvalue | None |
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+ | use_ema | False |
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+ | ema_momentum | 0.99 |
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+ | ema_overwrite_frequency | 100 |
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+ | jit_compile | False |
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+ | is_legacy_optimizer | False |
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+ | learning_rate | 0.0010000000474974513 |
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+ | rho | 0.9 |
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+ | momentum | 0.0 |
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+ | epsilon | 1e-07 |
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+ | centered | False |
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+ | training_precision | float32 |
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+
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+
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+ ## Model Plot
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+
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+ <details>
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+ <summary>View Model Plot</summary>
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+
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+ ![Model Image](./model.png)
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+
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+ </details>
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