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      1 path: "tensorflow.keras.losses"
      2 tf_module {
      3   member {
      4     name: "BinaryCrossentropy"
      5     mtype: "<type \'type\'>"
      6   }
      7   member {
      8     name: "CategoricalCrossentropy"
      9     mtype: "<type \'type\'>"
     10   }
     11   member {
     12     name: "CategoricalHinge"
     13     mtype: "<type \'type\'>"
     14   }
     15   member {
     16     name: "CosineSimilarity"
     17     mtype: "<type \'type\'>"
     18   }
     19   member {
     20     name: "Hinge"
     21     mtype: "<type \'type\'>"
     22   }
     23   member {
     24     name: "Huber"
     25     mtype: "<type \'type\'>"
     26   }
     27   member {
     28     name: "KLDivergence"
     29     mtype: "<type \'type\'>"
     30   }
     31   member {
     32     name: "LogCosh"
     33     mtype: "<type \'type\'>"
     34   }
     35   member {
     36     name: "Loss"
     37     mtype: "<type \'type\'>"
     38   }
     39   member {
     40     name: "MeanAbsoluteError"
     41     mtype: "<type \'type\'>"
     42   }
     43   member {
     44     name: "MeanAbsolutePercentageError"
     45     mtype: "<type \'type\'>"
     46   }
     47   member {
     48     name: "MeanSquaredError"
     49     mtype: "<type \'type\'>"
     50   }
     51   member {
     52     name: "MeanSquaredLogarithmicError"
     53     mtype: "<type \'type\'>"
     54   }
     55   member {
     56     name: "Poisson"
     57     mtype: "<type \'type\'>"
     58   }
     59   member {
     60     name: "SparseCategoricalCrossentropy"
     61     mtype: "<type \'type\'>"
     62   }
     63   member {
     64     name: "SquaredHinge"
     65     mtype: "<type \'type\'>"
     66   }
     67   member_method {
     68     name: "KLD"
     69     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
     70   }
     71   member_method {
     72     name: "MAE"
     73     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
     74   }
     75   member_method {
     76     name: "MAPE"
     77     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
     78   }
     79   member_method {
     80     name: "MSE"
     81     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
     82   }
     83   member_method {
     84     name: "MSLE"
     85     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
     86   }
     87   member_method {
     88     name: "binary_crossentropy"
     89     argspec: "args=[\'y_true\', \'y_pred\', \'from_logits\', \'label_smoothing\'], varargs=None, keywords=None, defaults=[\'False\', \'0\'], "
     90   }
     91   member_method {
     92     name: "categorical_crossentropy"
     93     argspec: "args=[\'y_true\', \'y_pred\', \'from_logits\', \'label_smoothing\'], varargs=None, keywords=None, defaults=[\'False\', \'0\'], "
     94   }
     95   member_method {
     96     name: "categorical_hinge"
     97     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
     98   }
     99   member_method {
    100     name: "cosine"
    101     argspec: "args=[\'y_true\', \'y_pred\', \'axis\'], varargs=None, keywords=None, defaults=[\'-1\'], "
    102   }
    103   member_method {
    104     name: "cosine_proximity"
    105     argspec: "args=[\'y_true\', \'y_pred\', \'axis\'], varargs=None, keywords=None, defaults=[\'-1\'], "
    106   }
    107   member_method {
    108     name: "cosine_similarity"
    109     argspec: "args=[\'y_true\', \'y_pred\', \'axis\'], varargs=None, keywords=None, defaults=[\'-1\'], "
    110   }
    111   member_method {
    112     name: "deserialize"
    113     argspec: "args=[\'name\', \'custom_objects\'], varargs=None, keywords=None, defaults=[\'None\'], "
    114   }
    115   member_method {
    116     name: "get"
    117     argspec: "args=[\'identifier\'], varargs=None, keywords=None, defaults=None"
    118   }
    119   member_method {
    120     name: "hinge"
    121     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
    122   }
    123   member_method {
    124     name: "kld"
    125     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
    126   }
    127   member_method {
    128     name: "kullback_leibler_divergence"
    129     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
    130   }
    131   member_method {
    132     name: "logcosh"
    133     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
    134   }
    135   member_method {
    136     name: "mae"
    137     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
    138   }
    139   member_method {
    140     name: "mape"
    141     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
    142   }
    143   member_method {
    144     name: "mean_absolute_error"
    145     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
    146   }
    147   member_method {
    148     name: "mean_absolute_percentage_error"
    149     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
    150   }
    151   member_method {
    152     name: "mean_squared_error"
    153     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
    154   }
    155   member_method {
    156     name: "mean_squared_logarithmic_error"
    157     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
    158   }
    159   member_method {
    160     name: "mse"
    161     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
    162   }
    163   member_method {
    164     name: "msle"
    165     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
    166   }
    167   member_method {
    168     name: "poisson"
    169     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
    170   }
    171   member_method {
    172     name: "serialize"
    173     argspec: "args=[\'loss\'], varargs=None, keywords=None, defaults=None"
    174   }
    175   member_method {
    176     name: "sparse_categorical_crossentropy"
    177     argspec: "args=[\'y_true\', \'y_pred\', \'from_logits\', \'axis\'], varargs=None, keywords=None, defaults=[\'False\', \'-1\'], "
    178   }
    179   member_method {
    180     name: "squared_hinge"
    181     argspec: "args=[\'y_true\', \'y_pred\'], varargs=None, keywords=None, defaults=None"
    182   }
    183 }
    184