diff --git a/chainladder/core/common.py b/chainladder/core/common.py index 2f527b38..e996eb2f 100644 --- a/chainladder/core/common.py +++ b/chainladder/core/common.py @@ -4,7 +4,7 @@ import copy from chainladder.utils.cupy import cp -def _get_full_expectation(cdf_, ultimate_, process_variance_): +def _get_full_expectation(cdf_, ultimate_): """ Private method that builds full expectation""" xp = cp.get_array_module(ultimate_.values) o, d = ultimate_.shape[-2:] @@ -17,9 +17,6 @@ def _get_full_expectation(cdf_, ultimate_, process_variance_): full.ddims = xp.append(cdf_.ddims, '9999-Ult') full.ddims = xp.array([int(item.split('-')[0]) for item in full.ddims]) full.vdim = ultimate_.vdims - if process_variance_: - full.values = (xp.nan_to_num(full.values) + - xp.nan_to_num(process_variance_.values)) return full def _get_full_triangle(full_expectation_, triangle_): @@ -62,10 +59,7 @@ def full_expectation_(self): if not hasattr(self, 'ultimate_'): raise AttributeError("'" + self.__class__.__name__ + "'" + " object has no attribute 'full_expectation_'") - if hasattr(self, 'process_variance_'): - return _get_full_expectation(self.cdf_, self.ultimate_, self.process_variance_) - else: - return _get_full_expectation(self.cdf_, self.ultimate_, None) + return _get_full_expectation(self.cdf_, self.ultimate_) @property def full_triangle_(self): diff --git a/chainladder/core/tests/test_triangle.py b/chainladder/core/tests/test_triangle.py index 0efd03cb..e146bf41 100644 --- a/chainladder/core/tests/test_triangle.py +++ b/chainladder/core/tests/test_triangle.py @@ -6,11 +6,12 @@ tri = cl.load_sample('clrd') qtr = cl.load_sample('quarterly') +raa = cl.load_sample('raa') # Test Triangle slicing def test_slice_by_boolean(): assert tri[tri['LOB'] == 'ppauto'].loc['Wolverine Mut Ins Co']['CumPaidLoss'] == \ - tri.loc['Wolverine Mut Ins Co'].loc['ppauto']['CumPaidLoss'] + tri.loc['Wolverine Mut Ins Co'].loc['ppauto']['CumPaidLoss'] def test_slice_by_loc(): @@ -18,13 +19,11 @@ def test_slice_by_loc(): def test_slice_origin(): - assert cl.load_sample('raa')[cl.load_sample('raa').origin>'1985'].shape == \ - (1, 1, 5, 10) + assert raa[raa.origin>'1985'].shape == (1, 1, 5, 10) def test_slice_development(): - assert cl.load_sample('raa')[cl.load_sample('raa').development<72].shape == \ - (1, 1, 10, 5) + assert raa[raa.development<72].shape == (1, 1, 10, 5) def test_slice_by_loc_iloc(): @@ -32,30 +31,27 @@ def test_slice_by_loc_iloc(): def test_repr(): - tri = cl.load_sample('raa') - np.testing.assert_array_equal(pd.read_html(tri._repr_html_())[0].set_index('Origin').values, - tri.to_frame().values) + np.testing.assert_array_equal( + pd.read_html(raa._repr_html_())[0].set_index('Origin').values, + raa.to_frame().values) def test_arithmetic_union(): - raa = cl.load_sample('raa') assert raa.shape == (raa-raa[raa.valuation<'1987']).shape def test_to_frame_unusual(): - clrd = cl.load_sample('clrd') - a = clrd.groupby(['LOB']).sum().latest_diagonal['CumPaidLoss'].to_frame().values - b = clrd.latest_diagonal['CumPaidLoss'].groupby(['LOB']).sum().to_frame().values + a = tri.groupby(['LOB']).sum().latest_diagonal['CumPaidLoss'].to_frame().values + b = tri.latest_diagonal['CumPaidLoss'].groupby(['LOB']).sum().to_frame().values xp = cp.get_array_module(a) xp.testing.assert_array_equal(a, b) def test_link_ratio(): - tri = cl.load_sample('RAA') - xp = cp.get_array_module(tri.values) - assert xp.sum(xp.nan_to_num(tri.link_ratio.values*tri.values[:,:,:-1,:-1]) - - xp.nan_to_num(tri.values[:,:,:-1,1:]))<1e-5 - + xp = cp.get_array_module(raa.values) + assert xp.sum(xp.nan_to_num(raa.link_ratio.values*raa.values[:,:,:-1,:-1]) - + xp.nan_to_num(raa.values[:,:,:-1,1:]))<1e-5 + def test_incr_to_cum(): xp = cp.get_array_module(tri.values) @@ -94,7 +90,7 @@ def test_sum_of_diff_eq_diff_of_sum(): def test_append(): - assert cl.load_sample('raa').append(cl.load_sample('raa')).sum() == 2*cl.load_sample('raa') + assert raa.append(raa).sum() == 2*raa def test_assign_existing_col(): @@ -168,7 +164,6 @@ def test_arithmetic_2(): def test_rtruediv(): - raa = cl.load_sample('raa') xp = cp.get_array_module(raa.values) assert xp.nansum(abs(((1/raa)*raa).values[0,0] - raa.nan_triangle))< .00001 @@ -191,14 +186,13 @@ def test_grain_returns_valid_tri(): def test_base_minimum_exposure_triangle(): - raa = (cl.load_sample('raa').latest_diagonal*0+50000).to_frame().reset_index() - raa['index'] = raa['index'].astype(str) - cl.Triangle(raa, origin='index', columns=raa.columns[-1]) + d = (raa.latest_diagonal*0+50000).to_frame().reset_index() + d['index'] = d['index'].astype(str) + cl.Triangle(d, origin='index', columns=d.columns[-1]) def test_origin_and_value_setters(): - raa = cl.load_sample('raa') - raa2 = cl.load_sample('raa') + raa2 = raa.copy() raa.columns = list(raa.columns) raa.origin = list(raa.origin) assert np.all((np.all(raa2.origin == raa.origin), @@ -236,19 +230,17 @@ def test_valdev3(): #def test_valdev4(): # # Does not work with pandas 0.23, consider requiring only pandas>=0.24 -# raa = cl.load_sample('raa') +# raa = raa # np.testing.assert_array_equal(raa.dev_to_val()[raa.dev_to_val().development>='1989'].values, # raa[raa.valuation>='1989'].dev_to_val().values) def test_valdev5(): - raa = cl.load_sample('raa') xp = cp.get_array_module(raa.values) xp.testing.assert_array_equal(raa[raa.valuation>='1989'].latest_diagonal.values, raa.latest_diagonal.values) def test_valdev6(): - raa = cl.load_sample('raa') xp = cp.get_array_module(raa.values) xp.testing.assert_array_equal(raa.grain('OYDY').latest_diagonal.values, raa.latest_diagonal.grain('OYDY').values) @@ -282,7 +274,7 @@ def test_commutative(): xp.nan_to_num(full.val_to_dev().grain('OYDY').values), atol=1e-5) def test_broadcasting(): - t1 = cl.load_sample('raa') + t1 = raa t2 = tri assert t1.broadcast_axis('columns', t2.columns).shape[1] == t2.shape[1] assert t1.broadcast_axis('index', t2.index).shape[0] == t2.shape[0] @@ -307,32 +299,28 @@ def test_exposure_tri(): assert x == y def test_jagged_1_add(): - raa = cl.load_sample('raa') raa1 = raa[raa.origin<='1984'] raa2 = raa[raa.origin>'1984'] assert raa2 + raa1 == raa assert raa2.dropna() + raa1.dropna() == raa def test_jagged_2_add(): - raa = cl.load_sample('raa') raa1 = raa[raa.development<=48] raa2 = raa[raa.development>48] assert raa2 + raa1 == raa assert raa2.dropna() + raa1.dropna() == raa def test_df_period_input(): - raa = cl.load_sample('raa').latest_diagonal - df = raa.to_frame().reset_index() - assert cl.Triangle(df, origin='index', columns=df.columns[-1]) == raa + d = raa.latest_diagonal + df = d.to_frame().reset_index() + assert cl.Triangle(df, origin='index', columns=df.columns[-1]) == d def test_trend_on_vector(): - raa = cl.load_sample('raa').latest_diagonal - assert raa.trend(.05, axis=2).to_frame().astype(int).iloc[0,0]==29216 + d = raa.latest_diagonal + assert d.trend(.05, axis=2).to_frame().astype(int).iloc[0,0]==29216 def latest_diagonal_val_to_dev(): - raa = cl.load_sample('raa') assert raa.latest_diagonal.val_to_dev()==raa[raa.valuation==raa.valuation_date] def vector_division(): - raa = cl.load_sample('raa') raa.latest_diagonal/raa diff --git a/docs/modules/triangle.rst b/docs/modules/triangle.rst index da46a6ad..4a926c97 100644 --- a/docs/modules/triangle.rst +++ b/docs/modules/triangle.rst @@ -31,7 +31,7 @@ index, columns, origin, development. ``development`` (axis 3): Development represents the development age or date of your triangle. - Valuation Month, Valuation Year, Valuation Quarter in a are good choices. + Valuation Month, Valuation Year, Valuation Quarter are good choices. Despite this structure, you interact with it in the style of pandas. You would use ``index`` and ``columns`` in the same way you would for a pandas DataFrame. diff --git a/docs/tutorials/stochastic-tutorial.ipynb b/docs/tutorials/stochastic-tutorial.ipynb index a8766a23..74f3dc81 100644 --- a/docs/tutorials/stochastic-tutorial.ipynb +++ b/docs/tutorials/stochastic-tutorial.ipynb @@ -75,7 +75,9 @@ { "cell_type": "code", "execution_count": 3, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "mack = cl.MackChainladder().fit(tri['CumPaidLoss'])" @@ -278,10 +280,10 @@ " Method: Least Squares F-statistic: 2887.\n", "\n", "\n", - " Date: Sat, 04 Jul 2020 Prob (F-statistic): 1.60e-11\n", + " Date: Sat, 11 Jul 2020 Prob (F-statistic): 1.60e-11\n", "\n", "\n", - " Time: 10:02:44 Log-Likelihood: -107.89\n", + " Time: 20:59:21 Log-Likelihood: -107.89\n", "\n", "\n", " No. Observations: 9 AIC: 217.8\n", @@ -327,8 +329,8 @@ "Dep. Variable: y R-squared (uncentered): 0.997\n", "Model: WLS Adj. R-squared (uncentered): 0.997\n", "Method: Least Squares F-statistic: 2887.\n", - "Date: Sat, 04 Jul 2020 Prob (F-statistic): 1.60e-11\n", - "Time: 10:02:44 Log-Likelihood: -107.89\n", + "Date: Sat, 11 Jul 2020 Prob (F-statistic): 1.60e-11\n", + "Time: 20:59:21 Log-Likelihood: -107.89\n", "No. Observations: 9 AIC: 217.8\n", "Df Residuals: 8 BIC: 218.0\n", "Df Model: 1 \n", @@ -393,7 +395,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "c:\\users\\jboga\\onedrive\\documents\\github\\chainladder-python\\chainladder\\utils\\weighted_regression.py:49: RuntimeWarning: invalid value encountered in true_divide\n", + "c:\\users\\jboga\\onedrive\\documents\\github\\chainladder-python\\chainladder\\utils\\weighted_regression.py:51: RuntimeWarning: invalid value encountered in true_divide\n", " (xp.nansum(w*x*x, axis)-xp.nanmean(x, axis)*xp.nansum(w*x, axis)))\n" ] } @@ -420,7 +422,9 @@ { "cell_type": "code", "execution_count": 9, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "dev = cl.Development(average='simple').fit(tri['CumPaidLoss'])" @@ -1092,7 +1096,7 @@ "outputs": [ { "data": { - "image/png": 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tLYoPk+82syWEJxaVfOh2d3c3mUyxh3YF2Wy2bHkzaZW6NHo9Ojo62GrKr983/YXLDnxf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\nJOWUCEREUk6JQEQ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L2BHYCXgpcCxwFnCSpBsj4lxgv4i4FTgG2AboBRZGxPWShpoRlxWDu3rMRqdZXUN7AHcD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\n8w8LihBxTHYAAAAASUVORK5CYII=\n", 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" ] @@ -1125,7 +1129,9 @@ { "cell_type": "code", "execution_count": 21, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "samples = cl.BootstrapODPSample(n_sims=10000).fit(tri['CumPaidLoss']).resampled_triangles_" @@ -1141,7 +1147,9 @@ { "cell_type": "code", "execution_count": 22, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "samples = cl.BootstrapODPSample(n_sims=10000).fit_transform(tri['CumPaidLoss'])" @@ -1165,7 +1173,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Percentage difference in estimate using original triangle and BootstrapODPSample is -0.0\n" + "Percentage difference in estimate using original triangle and BootstrapODPSample is 0.0\n" ] } ], @@ -1353,7 +1361,7 @@ }, { "data": { - "image/png": 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DiIgkKDFI21G1j8jQKDFI21G1j8jQKDGIiEiCEoMMG81SxVQaR5rXIvWW2RPcRJpNsYoJ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\nBzCzXYDnGhuOiMj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JFSUuERFJFSUuERFJFSUuERFJFSUuERFJFSUuERFJFSUuERFJFSUuERFJFSUu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\nEAAAAABJRU5ErkJggg==\n", 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RSRUlLhERSRUlLhERSRUlLhERSRUlLhERSRUlLhERSRUlLhERSRUlLhERSRUl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\nNskX/z1JKB3fHP3rEvs7KT8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" ] @@ -1418,7 +1426,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "99%-ile of reserve estimate is 2,776,659.0\n" + "99%-ile of reserve estimate is 2,774,892.0\n" ] } ], @@ -1442,7 +1450,7 @@ "outputs": [ { "data": { - "image/png": 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IkSWTyR5QPJvLltw+eE6uKJ7JBM8ZG08PpUkkE8S31/Z32ux/R6A2HIhqFYK9wPXAl4Gj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\nCjM7EtgA5ICtwBX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" ] @@ -1587,7 +1595,9 @@ { "cell_type": "code", "execution_count": 33, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# Grab completed triangle replacing simulated known data with actual known data\n", @@ -1612,7 +1622,7 @@ "outputs": [ { "data": { - "image/png": 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Hx20+C01sXvQutxOB9NyP3NYNlrhiMTWOZaCiOrFibhvIW9wypsWUYTZE15pu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W3TrZk9IxbWDzTll38H/jhy+z+keJfx//V628i3qmka5FWu/RAm8QTzdI6RP8LQG2KaTPFo+oic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\nyGtAf+Z+4rruoSgLvRue5408zxu6rlsF/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lsxKs0Ol2aPttxbt7iu7R56dNqjy7Kjba9g7P8Uk2UfRVPjbySjMwQgdnqW6W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\n", 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