adaptive_gaussian_ridge 実行例
help出力 adaptive_gaussian_ridge.py --help
usage: adaptive_gaussian_ridge.py [-h] [--infile INFILE] [--sheet SHEET]
[--xcol XCOL] [--ycol YCOL]
[--outfile OUTFILE] [--mode {fit,prune}]
[--n-data N_DATA] [--n-fit N_FIT]
[--n-centers N_CENTERS] [--noise NOISE]
[--seed SEED] [--bg-order BG_ORDER]
[--lambda-bg LAMBDA_BG]
[--lambda-gauss LAMBDA_GAUSS]
[--sigma-penalty-power SIGMA_PENALTY_POWER]
[--eps EPS] [--w-grad W_GRAD]
[--w-curv W_CURV]
[--sigma-method {distance,nearest,slope,hybrid_slope}]
[--sigma-alpha SIGMA_ALPHA]
[--sigma-m SIGMA_M]
[--sigma-alpha-slope SIGMA_ALPHA_SLOPE]
[--sigma-amp-window SIGMA_AMP_WINDOW]
[--sigma-slope-eps SIGMA_SLOPE_EPS]
[--sigma-min SIGMA_MIN]
[--sigma-max SIGMA_MAX]
[--smooth-window SMOOTH_WINDOW]
[--smooth-order SMOOTH_ORDER]
[--prune-frac PRUNE_FRAC]
[--min-basis MIN_BASIS]
[--metric {mae,rmse}]
[--allowed-ratio ALLOWED_RATIO]
[--show {0,1}] [--save-plot {0,1}]
[--plotfile PLOTFILE]
Adaptive Gaussian basis + background + weighted Ridge + pruning for spectra
options:
-h, --help show this help message and exit
--infile INFILE Input Excel file. Use 'demo' for generated data.
--sheet SHEET Excel sheet name or index. Default: 0
--xcol XCOL x column name or zero-based column index. Default:
first column
--ycol YCOL y column name or zero-based column index. Default:
second column
--outfile OUTFILE Output Excel file. Default: created from infile name.
--mode {fit,prune}
--n-data N_DATA Number of generated data points for --infile demo.
--n-fit N_FIT Number of points in exported fitted spectra.
--n-centers N_CENTERS
--noise NOISE
--seed SEED
--bg-order BG_ORDER Chebyshev background order. Use -1 for no background.
--lambda-bg LAMBDA_BG
--lambda-gauss LAMBDA_GAUSS
--sigma-penalty-power SIGMA_PENALTY_POWER
--eps EPS
--w-grad W_GRAD
--w-curv W_CURV
--sigma-method {distance,nearest,slope,hybrid_slope}
Sigma estimation method. hybrid_slope uses
min(nearest-distance, slope estimate).
--sigma-alpha SIGMA_ALPHA
Distance-based sigma multiplier.
--sigma-m SIGMA_M Neighbor count for conventional distance sigma.
--sigma-alpha-slope SIGMA_ALPHA_SLOPE
Slope-based sigma multiplier.
--sigma-amp-window SIGMA_AMP_WINDOW
Window points for local amplitude estimation used in
slope-based sigma.
--sigma-slope-eps SIGMA_SLOPE_EPS
Small denominator for |y|/(|dy/dx|+eps) sigma
estimate.
--sigma-min SIGMA_MIN
--sigma-max SIGMA_MAX
--smooth-window SMOOTH_WINDOW
--smooth-order SMOOTH_ORDER
--prune-frac PRUNE_FRAC
--min-basis MIN_BASIS
--metric {mae,rmse}
--allowed-ratio ALLOWED_RATIO
--show {0,1}
--save-plot {0,1}
--plotfile PLOTFILE
生成されたデータファイル
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生成された画像一覧
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