Upload scalers.yaml
Browse files- scalers.yaml +169 -0
scalers.yaml
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| 1 |
+
aia94:
|
| 2 |
+
base: surya.datasets.transformations
|
| 3 |
+
class: StandardScaler
|
| 4 |
+
count: 33571209216
|
| 5 |
+
epsilon: 1.0e-08
|
| 6 |
+
is_fitted: 'true'
|
| 7 |
+
max: 5.104914665222168
|
| 8 |
+
mean: 0.007682247087359428
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| 9 |
+
min: 0.0
|
| 10 |
+
ssq: 8766571.0
|
| 11 |
+
std: 0.014216765761375427
|
| 12 |
+
sum: 257902320.0
|
| 13 |
+
sl_scale_factor: 1.0e-02
|
| 14 |
+
aia131:
|
| 15 |
+
base: surya.datasets.transformations
|
| 16 |
+
class: StandardScaler
|
| 17 |
+
count: 33571209216
|
| 18 |
+
epsilon: 1.0e-08
|
| 19 |
+
is_fitted: 'true'
|
| 20 |
+
max: 4.642958164215088
|
| 21 |
+
mean: 0.03911230340600014
|
| 22 |
+
min: 0.0
|
| 23 |
+
ssq: 153411952.0
|
| 24 |
+
std: 0.05513598397374153
|
| 25 |
+
sum: 1313047296.0
|
| 26 |
+
sl_scale_factor: 1.0e-02
|
| 27 |
+
aia171:
|
| 28 |
+
base: surya.datasets.transformations
|
| 29 |
+
class: StandardScaler
|
| 30 |
+
count: 33571209216
|
| 31 |
+
epsilon: 1.0e-08
|
| 32 |
+
is_fitted: 'true'
|
| 33 |
+
max: 4.716078758239746
|
| 34 |
+
mean: 0.6208767294883728
|
| 35 |
+
min: 0.0
|
| 36 |
+
ssq: 21844160512.0
|
| 37 |
+
std: 0.5149681568145752
|
| 38 |
+
sum: 20843583488.0
|
| 39 |
+
sl_scale_factor: 1.0e-02
|
| 40 |
+
aia193:
|
| 41 |
+
base: surya.datasets.transformations
|
| 42 |
+
class: StandardScaler
|
| 43 |
+
count: 33571209216
|
| 44 |
+
epsilon: 1.0e-08
|
| 45 |
+
is_fitted: 'true'
|
| 46 |
+
max: 5.091572284698486
|
| 47 |
+
mean: 0.6960407495498657
|
| 48 |
+
min: 0.0
|
| 49 |
+
ssq: 27141281792.0
|
| 50 |
+
std: 0.569206714630127
|
| 51 |
+
sum: 23366930432.0
|
| 52 |
+
sl_scale_factor: 1.0e-02
|
| 53 |
+
aia211:
|
| 54 |
+
base: surya.datasets.transformations
|
| 55 |
+
class: StandardScaler
|
| 56 |
+
count: 33571209216
|
| 57 |
+
epsilon: 1.0e-08
|
| 58 |
+
is_fitted: 'true'
|
| 59 |
+
max: 5.104914665222168
|
| 60 |
+
mean: 0.3032558560371399
|
| 61 |
+
min: 0.0
|
| 62 |
+
ssq: 6964888576.0
|
| 63 |
+
std: 0.3398558497428894
|
| 64 |
+
sum: 10180665344.0
|
| 65 |
+
sl_scale_factor: 1.0e-02
|
| 66 |
+
aia304:
|
| 67 |
+
base: surya.datasets.transformations
|
| 68 |
+
class: StandardScaler
|
| 69 |
+
count: 33571209216
|
| 70 |
+
epsilon: 1.0e-08
|
| 71 |
+
is_fitted: 'true'
|
| 72 |
+
max: 5.104914665222168
|
| 73 |
+
mean: 0.24362024664878845
|
| 74 |
+
min: 0.0
|
| 75 |
+
ssq: 3977180160.0
|
| 76 |
+
std: 0.24314379692077637
|
| 77 |
+
sum: 8178626048.0
|
| 78 |
+
sl_scale_factor: 1.0e-02
|
| 79 |
+
aia335:
|
| 80 |
+
base: surya.datasets.transformations
|
| 81 |
+
class: StandardScaler
|
| 82 |
+
count: 33571209216
|
| 83 |
+
epsilon: 1.0e-08
|
| 84 |
+
is_fitted: 'true'
|
| 85 |
+
max: 5.104914665222168
|
| 86 |
+
mean: 0.030005566775798798
|
| 87 |
+
min: 0.0
|
| 88 |
+
ssq: 101809864.0
|
| 89 |
+
std: 0.04617703706026077
|
| 90 |
+
sum: 1007323136.0
|
| 91 |
+
sl_scale_factor: 1.0e-02
|
| 92 |
+
aia1600:
|
| 93 |
+
base: surya.datasets.transformations
|
| 94 |
+
class: StandardScaler
|
| 95 |
+
count: 33571209216
|
| 96 |
+
epsilon: 1.0e-08
|
| 97 |
+
is_fitted: 'true'
|
| 98 |
+
max: 5.104914665222168
|
| 99 |
+
mean: 0.27640828490257263
|
| 100 |
+
min: 0.0
|
| 101 |
+
ssq: 5027391488.0
|
| 102 |
+
std: 0.2708348035812378
|
| 103 |
+
sum: 9279360000.0
|
| 104 |
+
sl_scale_factor: 1.0e-02
|
| 105 |
+
hmi_bx:
|
| 106 |
+
base: surya.datasets.transformations
|
| 107 |
+
class: StandardScaler
|
| 108 |
+
count: 33571209216
|
| 109 |
+
epsilon: 1.0e-08
|
| 110 |
+
is_fitted: 'true'
|
| 111 |
+
max: 3.737321376800537
|
| 112 |
+
mean: 0.0010142404353246093
|
| 113 |
+
min: -3.7792491912841797
|
| 114 |
+
ssq: 3866785536.0
|
| 115 |
+
std: 0.3393826484680176
|
| 116 |
+
sum: 34049276.0
|
| 117 |
+
sl_scale_factor: 1.0e-02
|
| 118 |
+
hmi_by:
|
| 119 |
+
base: surya.datasets.transformations
|
| 120 |
+
class: StandardScaler
|
| 121 |
+
count: 33571209216
|
| 122 |
+
epsilon: 1.0e-08
|
| 123 |
+
is_fitted: 'true'
|
| 124 |
+
max: 3.6676809787750244
|
| 125 |
+
mean: 0.0008488616440445185
|
| 126 |
+
min: -3.9032106399536133
|
| 127 |
+
ssq: 3804123904.0
|
| 128 |
+
std: 0.33662179112434387
|
| 129 |
+
sum: 28497312.0
|
| 130 |
+
sl_scale_factor: 1.0e-02
|
| 131 |
+
hmi_bz:
|
| 132 |
+
base: surya.datasets.transformations
|
| 133 |
+
class: StandardScaler
|
| 134 |
+
count: 33571209216
|
| 135 |
+
epsilon: 1.0e-08
|
| 136 |
+
is_fitted: 'true'
|
| 137 |
+
max: 3.9140491485595703
|
| 138 |
+
mean: -6.594143087568227e-06
|
| 139 |
+
min: -3.9124834537506104
|
| 140 |
+
ssq: 323843296.0
|
| 141 |
+
std: 0.09821633249521255
|
| 142 |
+
sum: -221373.359375
|
| 143 |
+
sl_scale_factor: 1.0e-02
|
| 144 |
+
hmi_m:
|
| 145 |
+
base: surya.datasets.transformations
|
| 146 |
+
class: StandardScaler
|
| 147 |
+
count: 33571209216
|
| 148 |
+
epsilon: 1.0e-08
|
| 149 |
+
is_fitted: 'true'
|
| 150 |
+
max: 3.6454217433929443
|
| 151 |
+
mean: -1.8074297258863226e-05
|
| 152 |
+
min: -3.5852091312408447
|
| 153 |
+
ssq: 327147904.0
|
| 154 |
+
std: 0.09871617704629898
|
| 155 |
+
sum: -606776.0
|
| 156 |
+
sl_scale_factor: 1.0e-02
|
| 157 |
+
hmi_v:
|
| 158 |
+
base: surya.datasets.transformations
|
| 159 |
+
class: StandardScaler
|
| 160 |
+
count: 33571209216
|
| 161 |
+
epsilon: 1.0e-08
|
| 162 |
+
is_fitted: 'true'
|
| 163 |
+
max: 4.553315162658691
|
| 164 |
+
mean: 0.028541626408696175
|
| 165 |
+
min: -4.583911418914795
|
| 166 |
+
ssq: 130445197312.0
|
| 167 |
+
std: 1.9709930419921875
|
| 168 |
+
sum: 958176896.0
|
| 169 |
+
sl_scale_factor: 1.0e-02
|