renamed namespace to mlrose_hiive

.gitignore

@@ -1,6 +1,6 @@
 __pycache__/*
 tests/__pycache__/*
-mlrose/__pycache__/*
+mlrose_hiive/__pycache__/*
 
 build/*
 mlrose.egg-info/*

docs/conf.py

@@ -19,7 +19,7 @@
 
 # -- Project information -----------------------------------------------------
 
-project = 'mlrose'
+project = 'mlrose_hiive'
 copyright = '2019, Genevieve Hayes'
 author = 'Genevieve Hayes'
 
@@ -140,7 +140,7 @@
 # (source start file, target name, title,
 #  author, documentclass [howto, manual, or own class]).
 latex_documents = [
-    (master_doc, 'mlrose.tex', 'mlrose Documentation',
+    (master_doc, 'mlrose_hiive.tex', 'mlrose_hiive Documentation',
      'Genevieve Hayes', 'manual'),
 ]
 
@@ -150,7 +150,7 @@
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
 man_pages = [
-    (master_doc, 'mlrose', 'mlrose Documentation',
+    (master_doc, 'mlrose_hiive', 'mlrose_hiive Documentation',
      [author], 1)
 ]
 
@@ -161,8 +161,8 @@
 # (source start file, target name, title, author,
 #  dir menu entry, description, category)
 texinfo_documents = [
-    (master_doc, 'mlrose', 'mlrose Documentation',
-     author, 'mlrose', 'One line description of project.',
+    (master_doc, 'mlrose_hiive', 'mlrose_hiive Documentation',
+     author, 'mlrose_hiive', 'One line description of project.',
      'Miscellaneous'),
 ]
 

mlrose/algorithms/crossovers/one_point_crossover.py → mlrose_hiive/algorithms/crossovers/one_point_crossover.py

@@ -6,7 +6,7 @@
 
 import numpy as np
 
-from mlrose.algorithms.crossovers._crossover_base import _CrossOverBase
+from mlrose_hiive.algorithms.crossovers._crossover_base import _CrossOverBase
 
 
 class OnePointCrossOver(_CrossOverBase):

mlrose/algorithms/crossovers/tsp_crossover.py → mlrose_hiive/algorithms/crossovers/tsp_crossover.py

@@ -7,7 +7,7 @@
 
 import numpy as np
 
-from mlrose.algorithms.crossovers._crossover_base import _CrossOverBase
+from mlrose_hiive.algorithms.crossovers._crossover_base import _CrossOverBase
 
 
 class TSPCrossOver(_CrossOverBase):

mlrose/algorithms/crossovers/uniform_crossover.py → mlrose_hiive/algorithms/crossovers/uniform_crossover.py

@@ -6,7 +6,7 @@
 
 import numpy as np
 
-from mlrose.algorithms.crossovers._crossover_base import _CrossOverBase
+from mlrose_hiive.algorithms.crossovers._crossover_base import _CrossOverBase
 
 
 class UniformCrossOver(_CrossOverBase):

mlrose/algorithms/decay/arith_decay.py → mlrose_hiive/algorithms/decay/arith_decay.py

@@ -33,8 +33,8 @@ class ArithDecay:
     .. highlight:: python
     .. code-block:: python
 
-        >>> import mlrose
-        >>> schedule = mlrose.ArithDecay(init_temp=10, decay=0.95, min_temp=1)
+        >>> import mlrose_hiive
+        >>> schedule = mlrose_hiive.ArithDecay(init_temp=10, decay=0.95, min_temp=1)
         >>> schedule.evaluate(5)
         5.25
     """

mlrose/algorithms/decay/custom_schedule.py → mlrose_hiive/algorithms/decay/custom_schedule.py

@@ -21,10 +21,10 @@ class CustomSchedule:
     .. highlight:: python
     .. code-block:: python
 
-        >>> import mlrose
+        >>> import mlrose_hiive
         >>> def custom(t, c): return t + c
         >>> kwargs = {'c': 10}
-        >>> schedule = mlrose.CustomSchedule(custom, **kwargs)
+        >>> schedule = mlrose_hiive.CustomSchedule(custom, **kwargs)
         >>> schedule.evaluate(5)
         15
     """

mlrose/algorithms/decay/exp_decay.py → mlrose_hiive/algorithms/decay/exp_decay.py

@@ -35,8 +35,8 @@ class ExpDecay:
     .. highlight:: python
     .. code-block:: python
 
-       >>> import mlrose
-       >>> schedule = mlrose.ExpDecay(init_temp=10, exp_const=0.05, min_temp=1)
+       >>> import mlrose_hiive
+       >>> schedule = mlrose_hiive.ExpDecay(init_temp=10, exp_const=0.05, min_temp=1)
        >>> schedule.evaluate(5)
        7.78800...
     """

mlrose/algorithms/decay/geom_decay.py → mlrose_hiive/algorithms/decay/geom_decay.py

@@ -31,8 +31,8 @@ class GeomDecay:
     .. highlight:: python
     .. code-block:: python
 
-        >>> import mlrose
-        >>> schedule = mlrose.GeomDecay(init_temp=10, decay=0.95, min_temp=1)
+        >>> import mlrose_hiive
+        >>> schedule = mlrose_hiive.GeomDecay(init_temp=10, decay=0.95, min_temp=1)
         >>> schedule.evaluate(5)
         7.73780...
     """

mlrose/algorithms/ga.py → mlrose_hiive/algorithms/ga.py

@@ -6,7 +6,7 @@
 
 import numpy as np
 
-from mlrose.decorators import short_name
+from mlrose_hiive.decorators import short_name
 
 
 def _get_hamming_distance_default(population, p1):

mlrose/algorithms/gd.py → mlrose_hiive/algorithms/gd.py

@@ -5,8 +5,8 @@
 
 import numpy as np
 
-from mlrose.decorators import short_name
-from mlrose.neural.utils import flatten_weights
+from mlrose_hiive.decorators import short_name
+from mlrose_hiive.neural.utils import flatten_weights
 
 
 @short_name('gd')

mlrose/algorithms/hc.py → mlrose_hiive/algorithms/hc.py

@@ -6,7 +6,7 @@
 
 import numpy as np
 
-from mlrose.decorators import short_name
+from mlrose_hiive.decorators import short_name
 
 
 @short_name('hc')

mlrose/algorithms/mimic.py → mlrose_hiive/algorithms/mimic.py

@@ -6,7 +6,7 @@
 
 import numpy as np
 
-from mlrose.decorators import short_name
+from mlrose_hiive.decorators import short_name
 
 
 @short_name('mimic')

mlrose/algorithms/mutators/change_one_mutator.py → mlrose_hiive/algorithms/mutators/change_one_mutator.py

@@ -5,7 +5,7 @@
 # License: BSD 3 clause
 import numpy as np
 
-from mlrose.algorithms.mutators._mutator_base import _MutatorBase
+from mlrose_hiive.algorithms.mutators._mutator_base import _MutatorBase
 
 
 class ChangeOneMutator(_MutatorBase):

mlrose/algorithms/mutators/discrete_mutator.py → mlrose_hiive/algorithms/mutators/discrete_mutator.py

@@ -5,7 +5,7 @@
 # License: BSD 3 clause
 import numpy as np
 
-from mlrose.algorithms.mutators._mutator_base import _MutatorBase
+from mlrose_hiive.algorithms.mutators._mutator_base import _MutatorBase
 
 
 class DiscreteMutator(_MutatorBase):

mlrose/algorithms/mutators/shift_one_mutator.py → mlrose_hiive/algorithms/mutators/shift_one_mutator.py

@@ -5,7 +5,7 @@
 # License: BSD 3 clause
 import numpy as np
 
-from mlrose.algorithms.mutators._mutator_base import _MutatorBase
+from mlrose_hiive.algorithms.mutators._mutator_base import _MutatorBase
 
 
 class ShiftOneMutator(_MutatorBase):

mlrose/algorithms/mutators/swap_mutator.py → mlrose_hiive/algorithms/mutators/swap_mutator.py

@@ -5,7 +5,7 @@
 # License: BSD 3 clause
 import numpy as np
 
-from mlrose.algorithms.mutators._mutator_base import _MutatorBase
+from mlrose_hiive.algorithms.mutators._mutator_base import _MutatorBase
 
 
 class SwapMutator(_MutatorBase):

mlrose/algorithms/rhc.py → mlrose_hiive/algorithms/rhc.py

@@ -6,7 +6,7 @@
 
 import numpy as np
 
-from mlrose.decorators import short_name
+from mlrose_hiive.decorators import short_name
 
 
 @short_name('rhc')

mlrose/algorithms/sa.py → mlrose_hiive/algorithms/sa.py

@@ -6,8 +6,8 @@
 
 import numpy as np
 
-from mlrose.algorithms.decay import GeomDecay
-from mlrose.decorators import short_name
+from mlrose_hiive.algorithms.decay import GeomDecay
+from mlrose_hiive.decorators import short_name
 
 
 @short_name('sa')
@@ -23,7 +23,7 @@ def simulated_annealing(problem, schedule=GeomDecay(), max_attempts=10,
         Object containing fitness function optimization problem to be solved.
         For example, :code:`DiscreteOpt()`, :code:`ContinuousOpt()` or
         :code:`TSPOpt()`.
-    schedule: schedule object, default: :code:`mlrose.GeomDecay()`
+    schedule: schedule object, default: :code:`mlrose_hiive.GeomDecay()`
         Schedule used to determine the value of the temperature parameter.
     max_attempts: int, default: 10
         Maximum number of attempts to find a better neighbor at each step.

mlrose/fitness/continuous_peaks.py → mlrose_hiive/fitness/continuous_peaks.py

@@ -34,9 +34,9 @@ class ContinuousPeaks:
     .. highlight:: python
     .. code-block:: python
 
-        >>> import mlrose
+        >>> import mlrose_hiive
         >>> import numpy as np
-        >>> fitness = mlrose.ContinuousPeaks(t_pct=0.15)
+        >>> fitness = mlrose_hiive.ContinuousPeaks(t_pct=0.15)
         >>> state = np.array([0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1])
         >>> fitness.evaluate(state)
         17

mlrose/fitness/custom_fitness.py → mlrose_hiive/fitness/custom_fitness.py

@@ -27,11 +27,11 @@ class CustomFitness:
     .. highlight:: python
     .. code-block:: python
 
-        >>> import mlrose
+        >>> import mlrose_hiive
         >>> import numpy as np
         >>> def cust_fn(state, c): return c*np.sum(state)
         >>> kwargs = {'c': 10}
-        >>> fitness = mlrose.CustomFitness(cust_fn, **kwargs)
+        >>> fitness = mlrose_hiive.CustomFitness(cust_fn, **kwargs)
         >>> state = np.array([1, 2, 3, 4, 5])
         >>> fitness.evaluate(state)
         150

mlrose/fitness/flip_flop.py → mlrose_hiive/fitness/flip_flop.py

@@ -17,9 +17,9 @@ class FlipFlop:
     .. highlight:: python
     .. code-block:: python
 
-        >>> import mlrose
+        >>> import mlrose_hiive
         >>> import numpy as np
-        >>> fitness = mlrose.FlipFlop()
+        >>> fitness = mlrose_hiive.FlipFlop()
         >>> state = np.array([0, 1, 0, 1, 1, 1, 1])
         >>> fitness.evaluate(state)
         3

mlrose/fitness/four_peaks.py → mlrose_hiive/fitness/four_peaks.py

@@ -5,7 +5,7 @@
 
 import numpy as np
 
-from mlrose.fitness._discrete_peaks_base import _DiscretePeaksBase
+from mlrose_hiive.fitness._discrete_peaks_base import _DiscretePeaksBase
 
 
 class FourPeaks(_DiscretePeaksBase):
@@ -35,9 +35,9 @@ class FourPeaks(_DiscretePeaksBase):
     .. highlight:: python
     .. code-block:: python
 
-        >>> import mlrose
+        >>> import mlrose_hiive
         >>> import numpy as np
-        >>> fitness = mlrose.FourPeaks(t_pct=0.15)
+        >>> fitness = mlrose_hiive.FourPeaks(t_pct=0.15)
         >>> state = np.array([1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0])
         >>> fitness.evaluate(state)
         16

mlrose/fitness/knapsack.py → mlrose_hiive/fitness/knapsack.py

@@ -38,12 +38,12 @@ class Knapsack:
     .. highlight:: python
     .. code-block:: python
 
-        >>> import mlrose
+        >>> import mlrose_hiive
         >>> import numpy as np
         >>> weights = [10, 5, 2, 8, 15]
         >>> values = [1, 2, 3, 4, 5]
         >>> max_weight_pct = 0.6
-        >>> fitness = mlrose.Knapsack(weights, values, max_weight_pct)
+        >>> fitness = mlrose_hiive.Knapsack(weights, values, max_weight_pct)
         >>> state = np.array([1, 0, 2, 1, 0])
         >>> fitness.evaluate(state)
         11

mlrose/fitness/max_k_color.py → mlrose_hiive/fitness/max_k_color.py

@@ -24,10 +24,10 @@ class MaxKColor:
     .. highlight:: python
     .. code-block:: python
 
-        >>> import mlrose
+        >>> import mlrose_hiive
         >>> import numpy as np
         >>> edges = [(0, 1), (0, 2), (0, 4), (1, 3), (2, 0), (2, 3), (3, 4)]
-        >>> fitness = mlrose.MaxKColor(edges)
+        >>> fitness = mlrose_hiive.MaxKColor(edges)
         >>> state = np.array([0, 1, 0, 1, 1])
         >>> fitness.evaluate(state)
         3

mlrose/fitness/one_max.py → mlrose_hiive/fitness/one_max.py

@@ -19,9 +19,9 @@ class OneMax:
     .. highlight:: python
     .. code-block:: python
 
-        >>> import mlrose
+        >>> import mlrose_hiive
         >>> import numpy as np
-        >>> fitness = mlrose.OneMax()
+        >>> fitness = mlrose_hiive.OneMax()
         >>> state = np.array([0, 1, 0, 1, 1, 1, 1])
         >>> fitness.evaluate(state)
         5

mlrose/fitness/queens.py → mlrose_hiive/fitness/queens.py

@@ -18,9 +18,9 @@ class Queens:
     .. highlight:: python
     .. code-block:: python
 
-        >>> import mlrose
+        >>> import mlrose_hiive
         >>> import numpy as np
-        >>> fitness = mlrose.Queens()
+        >>> fitness = mlrose_hiive.Queens()
         >>> state = np.array([1, 4, 1, 3, 5, 5, 2, 7])
         >>> fitness.evaluate(state)
         6

mlrose/fitness/six_peaks.py → mlrose_hiive/fitness/six_peaks.py

@@ -5,7 +5,7 @@
 
 import numpy as np
 
-from mlrose.fitness._discrete_peaks_base import _DiscretePeaksBase
+from mlrose_hiive.fitness._discrete_peaks_base import _DiscretePeaksBase
 
 
 class SixPeaks(_DiscretePeaksBase):
@@ -36,9 +36,9 @@ class SixPeaks(_DiscretePeaksBase):
     .. highlight:: python
     .. code-block:: python
 
-        >>> import mlrose
+        >>> import mlrose_hiive
         >>> import numpy as np
-        >>> fitness = mlrose.SixPeaks(t_pct=0.15)
+        >>> fitness = mlrose_hiive.SixPeaks(t_pct=0.15)
         >>> state = np.array([0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1])
         >>> fitness.evaluate(state)
         12

mlrose/fitness/travelling_sales.py → mlrose_hiive/fitness/travelling_sales.py

@@ -37,16 +37,16 @@ class TravellingSales:
     .. highlight:: python
     .. code-block:: python
 
-        >>> import mlrose
+        >>> import mlrose_hiive
         >>> import numpy as np
         >>> coords = [(0, 0), (3, 0), (3, 2), (2, 4), (1, 3)]
         >>> dists = [(0, 1, 3), (0, 2, 5), (0, 3, 1), (0, 4, 7), (1, 3, 6),
                      (4, 1, 9), (2, 3, 8), (2, 4, 2), (3, 2, 8), (3, 4, 4)]
-        >>> fitness_coords = mlrose.TravellingSales(coords=coords)
+        >>> fitness_coords = mlrose_hiive.TravellingSales(coords=coords)
         >>> state = np.array([0, 1, 4, 3, 2])
         >>> fitness_coords.evaluate(state)
         13.86138...
-        >>> fitness_dists = mlrose.TravellingSales(distances=dists)
+        >>> fitness_dists = mlrose_hiive.TravellingSales(distances=dists)
         >>> fitness_dists.evaluate(state)
         29
 

mlrose/generators/flip_flop_generator.py → mlrose_hiive/generators/flip_flop_generator.py

@@ -5,7 +5,7 @@
 
 import numpy as np
 
-from mlrose import FlipFlopOpt
+from mlrose_hiive import FlipFlopOpt
 
 
 class FlipFlopGenerator: