def _test(self, x, df, mu, sigma): xtf = tf.constant(x) val_true = stats.t.logpdf(x, df, mu, sigma) with self.test_session(): self.assertAllClose(t.logpdf(xtf, df, mu, sigma).eval(), val_true) self.assertAllClose(t.logpdf(xtf, df, tf.constant(mu), tf.constant(sigma)).eval(), val_true)
def _test(x, df, loc=0, scale=1): xtf = tf.constant(x) val_true = stats.t.logpdf(x, df, loc, scale) _assert_eq(t.logpdf(xtf, df, loc, scale), val_true) _assert_eq(t.logpdf(xtf, df, tf.constant(loc), tf.constant(scale)), val_true) _assert_eq(t.logpdf(xtf, df, tf.constant([loc]), tf.constant(scale)), val_true) _assert_eq(t.logpdf(xtf, df, tf.constant(loc), tf.constant([scale])), val_true) _assert_eq(t.logpdf(xtf, df, tf.constant([loc]), tf.constant([scale])), val_true)
def _test(self, x, df, loc=0, scale=1): xtf = tf.constant(x) val_true = stats.t.logpdf(x, df, loc, scale) with self.test_session(): self.assertAllClose(t.logpdf(xtf, df, loc, scale).eval(), val_true) self.assertAllClose( t.logpdf(xtf, df, tf.constant(loc), tf.constant(scale)).eval(), val_true)
def _test(self, x, df, mu, sigma): val_true = stats.t.logpdf(x, df, mu, sigma) with self.test_session(): self.assertAllClose(t.logpdf(x, df=df, mu=mu, sigma=sigma).eval(), val_true)
def _test(self, x, df, loc=0, scale=1): xtf = tf.constant(x) val_true = stats.t.logpdf(x, df, loc, scale) with self.test_session(): self.assertAllClose(t.logpdf(xtf, df, loc, scale).eval(), val_true) self.assertAllClose(t.logpdf(xtf, df, tf.constant(loc), tf.constant(scale)).eval(), val_true)