| aia94: | |
| base: surya.datasets.transformations | |
| class: StandardScaler | |
| count: 33571209216 | |
| epsilon: 1.0e-08 | |
| is_fitted: 'true' | |
| max: 5.104914665222168 | |
| mean: 0.007682247087359428 | |
| min: 0.0 | |
| ssq: 8766571.0 | |
| std: 0.014216765761375427 | |
| sum: 257902320.0 | |
| sl_scale_factor: 1.0e-02 | |
| aia131: | |
| base: surya.datasets.transformations | |
| class: StandardScaler | |
| count: 33571209216 | |
| epsilon: 1.0e-08 | |
| is_fitted: 'true' | |
| max: 4.642958164215088 | |
| mean: 0.03911230340600014 | |
| min: 0.0 | |
| ssq: 153411952.0 | |
| std: 0.05513598397374153 | |
| sum: 1313047296.0 | |
| sl_scale_factor: 1.0e-02 | |
| aia171: | |
| base: surya.datasets.transformations | |
| class: StandardScaler | |
| count: 33571209216 | |
| epsilon: 1.0e-08 | |
| is_fitted: 'true' | |
| max: 4.716078758239746 | |
| mean: 0.6208767294883728 | |
| min: 0.0 | |
| ssq: 21844160512.0 | |
| std: 0.5149681568145752 | |
| sum: 20843583488.0 | |
| sl_scale_factor: 1.0e-02 | |
| aia193: | |
| base: surya.datasets.transformations | |
| class: StandardScaler | |
| count: 33571209216 | |
| epsilon: 1.0e-08 | |
| is_fitted: 'true' | |
| max: 5.091572284698486 | |
| mean: 0.6960407495498657 | |
| min: 0.0 | |
| ssq: 27141281792.0 | |
| std: 0.569206714630127 | |
| sum: 23366930432.0 | |
| sl_scale_factor: 1.0e-02 | |
| aia211: | |
| base: surya.datasets.transformations | |
| class: StandardScaler | |
| count: 33571209216 | |
| epsilon: 1.0e-08 | |
| is_fitted: 'true' | |
| max: 5.104914665222168 | |
| mean: 0.3032558560371399 | |
| min: 0.0 | |
| ssq: 6964888576.0 | |
| std: 0.3398558497428894 | |
| sum: 10180665344.0 | |
| sl_scale_factor: 1.0e-02 | |
| aia304: | |
| base: surya.datasets.transformations | |
| class: StandardScaler | |
| count: 33571209216 | |
| epsilon: 1.0e-08 | |
| is_fitted: 'true' | |
| max: 5.104914665222168 | |
| mean: 0.24362024664878845 | |
| min: 0.0 | |
| ssq: 3977180160.0 | |
| std: 0.24314379692077637 | |
| sum: 8178626048.0 | |
| sl_scale_factor: 1.0e-02 | |
| aia335: | |
| base: surya.datasets.transformations | |
| class: StandardScaler | |
| count: 33571209216 | |
| epsilon: 1.0e-08 | |
| is_fitted: 'true' | |
| max: 5.104914665222168 | |
| mean: 0.030005566775798798 | |
| min: 0.0 | |
| ssq: 101809864.0 | |
| std: 0.04617703706026077 | |
| sum: 1007323136.0 | |
| sl_scale_factor: 1.0e-02 | |
| aia1600: | |
| base: surya.datasets.transformations | |
| class: StandardScaler | |
| count: 33571209216 | |
| epsilon: 1.0e-08 | |
| is_fitted: 'true' | |
| max: 5.104914665222168 | |
| mean: 0.27640828490257263 | |
| min: 0.0 | |
| ssq: 5027391488.0 | |
| std: 0.2708348035812378 | |
| sum: 9279360000.0 | |
| sl_scale_factor: 1.0e-02 | |
| hmi_bx: | |
| base: surya.datasets.transformations | |
| class: StandardScaler | |
| count: 33571209216 | |
| epsilon: 1.0e-08 | |
| is_fitted: 'true' | |
| max: 3.737321376800537 | |
| mean: 0.0010142404353246093 | |
| min: -3.7792491912841797 | |
| ssq: 3866785536.0 | |
| std: 0.3393826484680176 | |
| sum: 34049276.0 | |
| sl_scale_factor: 1.0e-02 | |
| hmi_by: | |
| base: surya.datasets.transformations | |
| class: StandardScaler | |
| count: 33571209216 | |
| epsilon: 1.0e-08 | |
| is_fitted: 'true' | |
| max: 3.6676809787750244 | |
| mean: 0.0008488616440445185 | |
| min: -3.9032106399536133 | |
| ssq: 3804123904.0 | |
| std: 0.33662179112434387 | |
| sum: 28497312.0 | |
| sl_scale_factor: 1.0e-02 | |
| hmi_bz: | |
| base: surya.datasets.transformations | |
| class: StandardScaler | |
| count: 33571209216 | |
| epsilon: 1.0e-08 | |
| is_fitted: 'true' | |
| max: 3.9140491485595703 | |
| mean: -6.594143087568227e-06 | |
| min: -3.9124834537506104 | |
| ssq: 323843296.0 | |
| std: 0.09821633249521255 | |
| sum: -221373.359375 | |
| sl_scale_factor: 1.0e-02 | |
| hmi_m: | |
| base: surya.datasets.transformations | |
| class: StandardScaler | |
| count: 33571209216 | |
| epsilon: 1.0e-08 | |
| is_fitted: 'true' | |
| max: 3.6454217433929443 | |
| mean: -1.8074297258863226e-05 | |
| min: -3.5852091312408447 | |
| ssq: 327147904.0 | |
| std: 0.09871617704629898 | |
| sum: -606776.0 | |
| sl_scale_factor: 1.0e-02 | |
| hmi_v: | |
| base: surya.datasets.transformations | |
| class: StandardScaler | |
| count: 33571209216 | |
| epsilon: 1.0e-08 | |
| is_fitted: 'true' | |
| max: 4.553315162658691 | |
| mean: 0.028541626408696175 | |
| min: -4.583911418914795 | |
| ssq: 130445197312.0 | |
| std: 1.9709930419921875 | |
| sum: 958176896.0 | |
| sl_scale_factor: 1.0e-02 | |