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      1 path: "tensorflow.distributions.DirichletMultinomial"
      2 tf_class {
      3   is_instance: "<class \'tensorflow.python.ops.distributions.dirichlet_multinomial.DirichletMultinomial\'>"
      4   is_instance: "<class \'tensorflow.python.ops.distributions.distribution.Distribution\'>"
      5   is_instance: "<class \'tensorflow.python.ops.distributions.distribution._BaseDistribution\'>"
      6   is_instance: "<type \'object\'>"
      7   member {
      8     name: "allow_nan_stats"
      9     mtype: "<type \'property\'>"
     10   }
     11   member {
     12     name: "batch_shape"
     13     mtype: "<type \'property\'>"
     14   }
     15   member {
     16     name: "concentration"
     17     mtype: "<type \'property\'>"
     18   }
     19   member {
     20     name: "dtype"
     21     mtype: "<type \'property\'>"
     22   }
     23   member {
     24     name: "event_shape"
     25     mtype: "<type \'property\'>"
     26   }
     27   member {
     28     name: "name"
     29     mtype: "<type \'property\'>"
     30   }
     31   member {
     32     name: "parameters"
     33     mtype: "<type \'property\'>"
     34   }
     35   member {
     36     name: "reparameterization_type"
     37     mtype: "<type \'property\'>"
     38   }
     39   member {
     40     name: "total_concentration"
     41     mtype: "<type \'property\'>"
     42   }
     43   member {
     44     name: "total_count"
     45     mtype: "<type \'property\'>"
     46   }
     47   member {
     48     name: "validate_args"
     49     mtype: "<type \'property\'>"
     50   }
     51   member_method {
     52     name: "__init__"
     53     argspec: "args=[\'self\', \'total_count\', \'concentration\', \'validate_args\', \'allow_nan_stats\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'True\', \'DirichletMultinomial\'], "
     54   }
     55   member_method {
     56     name: "batch_shape_tensor"
     57     argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
     58   }
     59   member_method {
     60     name: "cdf"
     61     argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'cdf\'], "
     62   }
     63   member_method {
     64     name: "copy"
     65     argspec: "args=[\'self\'], varargs=None, keywords=override_parameters_kwargs, defaults=None"
     66   }
     67   member_method {
     68     name: "covariance"
     69     argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'covariance\'], "
     70   }
     71   member_method {
     72     name: "cross_entropy"
     73     argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'cross_entropy\'], "
     74   }
     75   member_method {
     76     name: "entropy"
     77     argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'entropy\'], "
     78   }
     79   member_method {
     80     name: "event_shape_tensor"
     81     argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'event_shape_tensor\'], "
     82   }
     83   member_method {
     84     name: "is_scalar_batch"
     85     argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_batch\'], "
     86   }
     87   member_method {
     88     name: "is_scalar_event"
     89     argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'is_scalar_event\'], "
     90   }
     91   member_method {
     92     name: "kl_divergence"
     93     argspec: "args=[\'self\', \'other\', \'name\'], varargs=None, keywords=None, defaults=[\'kl_divergence\'], "
     94   }
     95   member_method {
     96     name: "log_cdf"
     97     argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_cdf\'], "
     98   }
     99   member_method {
    100     name: "log_prob"
    101     argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_prob\'], "
    102   }
    103   member_method {
    104     name: "log_survival_function"
    105     argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'log_survival_function\'], "
    106   }
    107   member_method {
    108     name: "mean"
    109     argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mean\'], "
    110   }
    111   member_method {
    112     name: "mode"
    113     argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'mode\'], "
    114   }
    115   member_method {
    116     name: "param_shapes"
    117     argspec: "args=[\'cls\', \'sample_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'DistributionParamShapes\'], "
    118   }
    119   member_method {
    120     name: "param_static_shapes"
    121     argspec: "args=[\'cls\', \'sample_shape\'], varargs=None, keywords=None, defaults=None"
    122   }
    123   member_method {
    124     name: "prob"
    125     argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'prob\'], "
    126   }
    127   member_method {
    128     name: "quantile"
    129     argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'quantile\'], "
    130   }
    131   member_method {
    132     name: "sample"
    133     argspec: "args=[\'self\', \'sample_shape\', \'seed\', \'name\'], varargs=None, keywords=None, defaults=[\'()\', \'None\', \'sample\'], "
    134   }
    135   member_method {
    136     name: "stddev"
    137     argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'stddev\'], "
    138   }
    139   member_method {
    140     name: "survival_function"
    141     argspec: "args=[\'self\', \'value\', \'name\'], varargs=None, keywords=None, defaults=[\'survival_function\'], "
    142   }
    143   member_method {
    144     name: "variance"
    145     argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'variance\'], "
    146   }
    147 }
    148